Pith. sign in

Paper Citation Record · LEDGER

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition

As of 22 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 0 inbound Pith citation observations for arXiv:2502.00310.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.00310 v1

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:31:04.099336Z

measured 83 of 83 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

83 of 83 outbound references displayed

  • verified exact1
  • verified fuzzy68
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b831107e-c9f7-441b-a9a1-d763d260c41e · outbound

This paper cites Unlocking the emotional states of high-risk suicide callers through speech analysis,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Unlocking the emotional states of high-risk suicide callers through speech analysis,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T19:31:03.688792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:31:03.688792Z digest=sha256:fe6f1b6e89c9cfcb96f279d4021401ae11a794defb6b8dec31716c41a7fea722

Observation 620fb68d-fb14-4435-a0f4-cfc86a6efb61 · outbound

This paper cites Suicide prevention (2024),.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Suicide prevention (2024),

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-09T19:31:03.695514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:31:03.695514Z digest=sha256:cb86fd4e9ee652ce5ca5fc47ed96bd775b180d4d5756accae04b082363728a6e

Observation 8f43b1f7-e132-42fb-85b5-8705d51bce82 · outbound

This paper cites Speech emotion recognition and sentiment analysis based thera- pist bot,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Speech emotion recognition and sentiment analysis based thera- pist bot,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T19:31:03.701434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:31:03.701434Z digest=sha256:c1261c3f117a4e4f06e92b279463dd1cee87a90e41b92407b6b7151b7b860c20

Observation 532c11f9-005a-4331-ba08-04803113083b · outbound

This paper cites Development of speech emotion recognition system based on discrete wavelet transform (dwt) and voice segmentation,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Development of speech emotion recognition system based on discrete wavelet transform (dwt) and voice segmentation,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.305245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.708104Z digest=sha256:4aa8cffad47c06c311a387475c56d6eaf018a4bc132ab44d933208a96422bf9c

Observation 341234cf-c3e6-4a6e-bcf5-1afe67f1f0c7 · outbound

This paper cites Survey on speech emotion recognition: Features, classification schemes, and databases,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Survey on speech emotion recognition: Features, classification schemes, and databases,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.290838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.713712Z digest=sha256:959fb14d22017db1cbc50c486113e4f091a4a527ef98a4ccfa82053df3cf8646

Observation 3a73c3c9-ad07-4d69-89d2-bc39317cd349 · outbound

This paper cites Missing-class-robust domain adaptation by unilateral alignment,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Missing-class-robust domain adaptation by unilateral alignment,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.275080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.719367Z digest=sha256:01ce0c39ab86d65b32c194102c3e33ef806147ec6b39f99c8be9129fc7ec9539

Observation 8202d552-afc7-40db-b49a-aceb52a8bbdf · outbound

This paper cites A deep learning driven method for fault classification and degradation assessment in mechanical equipment,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition A deep learning driven method for fault classification and degradation assessment in mechanical equipment,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.258161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.725449Z digest=sha256:cedb7e398b77a26c010894776d9433a701c9857dece6fa131ef51f3a1e43a576

Observation e63c6410-d7db-4fc8-bfd5-572132d81313 · outbound

This paper cites Potential, challenges and future directions for deep learning in prog- nostics and health management applications,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Potential, challenges and future directions for deep learning in prog- nostics and health management applications,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.243288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.730404Z digest=sha256:01072bf96a6f95baee545ba289d36755e9cb1405e5113d12d092de75187492ef

Observation aeaf8d9a-9766-4940-946d-3ce939113b1c · outbound

This paper cites Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.227807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.735727Z digest=sha256:86111b02b3f5bca94e6b1d27c144e984882c60dd62dbcc87b8892b6c9571d9ad

Observation efd1acc2-cca7-4462-a730-b0da254a3cab · outbound

This paper cites A survey of speech emotion recognition in natural environment,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition A survey of speech emotion recognition in natural environment,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.212593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.739850Z digest=sha256:071dfcf27af9c309c0de1a0c03775169f5be9c169c0e7c4cc55d5fa39beb88c8

Observation db0ceb04-b231-449f-9a93-59643cc09504 · outbound

This paper cites Research on speech emotion recognition based on the fractional fourier transform,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Research on speech emotion recognition based on the fractional fourier transform,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.197611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.745351Z digest=sha256:cf8a2475ec8751774d325a232852027904ff2daedc8048c8cc57780dc6ff00f7

Observation 1d995722-fd2b-4d34-998c-022d95cda32d · outbound

This paper cites 1d convolutional neural networks and applications: A survey,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition 1d convolutional neural networks and applications: A survey,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T19:31:03.750511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:31:03.750511Z digest=sha256:bb9f227eba77ddea272c5bd4c08b71f8d9a8c09cb35dd242f9e1cd6b3e1783ee

Observation 71915c79-95dd-4310-b51b-af3bb035a9ec · outbound

This paper cites A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.173192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.755202Z digest=sha256:e3d3bc1f29687368e12a7dd5387e5133147f540fcb3f4a149eaf8a8451aee458

Observation 74d63416-b6ab-4696-849d-d7ee96a5f886 · outbound

This paper cites Convolutional neural networks analyzed via convolutional sparse coding,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Convolutional neural networks analyzed via convolutional sparse coding,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.159212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.759478Z digest=sha256:a4700a10302d01056867cf8bc7828e331067550f2cb2b9ab1053c4a68f49b271

Observation 83b07df5-f51f-441e-a66a-54663adb01a6 · outbound

This paper cites Fourier neural networks: A comparative study,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Fourier neural networks: A comparative study,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.146290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.764294Z digest=sha256:97231cfe956703a1d6308ad06253db0444448d82dca6838848e6e6c7bef773f7

Observation 6248881e-c360-4bc1-9cb2-10b1eb686a06 · outbound

This paper cites Waveletkernelnet: An interpretable deep neural network for industrial intelligent diagnosis,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Waveletkernelnet: An interpretable deep neural network for industrial intelligent diagnosis,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.133062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.768179Z digest=sha256:0ea004571cbde93f761b7c56c9da8e7a3c2f4358a3acfc9a17fe9cb8fc7039cb

Observation b6dbbae3-16ce-489e-b2bf-fddb4ab3b707 · outbound

This paper cites Multi-level wavelet convolu- tional neural networks,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Multi-level wavelet convolu- tional neural networks,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.118890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.772026Z digest=sha256:56af9ab016685251e32b741bc343a34ca47f2467faaa2900ba628eec4c53d91c

Observation aff14bee-a08c-43a0-8204-8476ef8cdc31 · outbound

This paper cites An end-to-end multi-level wavelet convolu- tional neural networks for heart diseases diagnosis,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition An end-to-end multi-level wavelet convolu- tional neural networks for heart diseases diagnosis,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.103519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.775859Z digest=sha256:830ca9d880221271ec126c49de58ab27639e28d550b9595817c8ba2da15d4d4f

Observation 843bfd22-af8a-4552-ba31-ee864c6dbff4 · outbound

This paper cites Speech emotion recognition using local and global features,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Speech emotion recognition using local and global features,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.088178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.780869Z digest=sha256:0c7f69836f732ea593c49d3a1b343ba93aeb1c4ec33a90933ee062d58bccf035

Observation c0303d59-8885-4cb6-9002-314cd024fa43 · outbound

This paper cites Open-source media interpretation by large feature-space extraction,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Open-source media interpretation by large feature-space extraction,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.072647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.785392Z digest=sha256:5002d4797d23e69b8ae518d1f0fd5ecd6d57a3a68f5399d910c7e114a650e695

Observation 426628ff-6508-40fa-9895-312b3ae2d575 · outbound

This paper cites Speech emotion recognition using deep convolutional neural network and discriminant temporal pyramid matching,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Speech emotion recognition using deep convolutional neural network and discriminant temporal pyramid matching,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.057180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.790414Z digest=sha256:2f78cd837410f784e694488aecbc4294669d242c27178d6b8267564e13839eeb

Observation 1b13f5d3-47d9-48b4-92ea-394dd31de56e · outbound

This paper cites Speech emotion recognition using deep 1d & 2d cnn lstm networks,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Speech emotion recognition using deep 1d & 2d cnn lstm networks,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.040566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.795040Z digest=sha256:f4be227a946011a3506587fd387db2ae7dad3025dcf65cbd6f2001e0ccc25eae

Observation bfc98c5f-2369-41e6-8f2a-d61bf9c1cc08 · outbound

This paper cites Hidden markov model-based speech emotion recognition,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Hidden markov model-based speech emotion recognition,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.025635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.800323Z digest=sha256:3cc59ed1cb07954703c752428b67a68bd636d4515f0a30a4ae49d2098b3e3cf0

Observation 506a7cad-7474-4a6a-9dc8-2a19b2af6e9f · outbound

This paper cites Deep Learning is Robust to Massive Label Noise.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Deep Learning is Robust to Massive Label Noise

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T19:31:03.804889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:31:03.804889Z digest=sha256:00fec6b967a59be9dfd30f6f2608f71a415a014d86693c519b8609424e84919c

Observation 25cd8515-b4e8-4380-b3b2-7b5cf8b0435e · outbound

This paper cites A cnn-assisted enhanced audio signal pro- cessing for speech emotion recognition,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition A cnn-assisted enhanced audio signal pro- cessing for speech emotion recognition,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:05.009913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.809802Z digest=sha256:56ab141a6321ba9673c7bb041dff8056c21e45c366bb55306901d9fe8d62ac39

Observation 13e77213-eb94-4877-9614-581147d496c8 · outbound

This paper cites Recursive interferometric representation,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Recursive interferometric representation,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.993845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.813646Z digest=sha256:f15a89c72be4f0ba7ea7cb86661af7848609e81b4ea3205542b24288d9d35a6c

Observation 5a52d93e-4c55-4e96-a7a0-5fc35ad6d077 · outbound

This paper cites Group invariant scattering,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Group invariant scattering,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.978736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.817901Z digest=sha256:80333e891e8ba1d483893e16ad4dec177597cfa3be5fe25d79bd822f990c9134

Observation 3a2f5f56-1dd2-4a2b-82ba-f38384796657 · outbound

This paper cites Deep scattering spectrum,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Deep scattering spectrum,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-09T19:31:03.822403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:31:03.822403Z digest=sha256:1fdbf4678ce309d486bed8fdd8b8d10d80666cab63d62cdea8b7ebb3a8823116

Observation 79f89399-abfd-47c7-a411-b9a8ba8b5b41 · outbound

This paper cites Joint time–frequency scattering,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Joint time–frequency scattering,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.954599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.828616Z digest=sha256:efd27e1881dc0a7e7c35ed710d586811dfe1b0abd2f5fa22badacaf906b509e4

Observation a4d4b2e5-22db-42f0-abe7-343def5d02ba · outbound

This paper cites Hybrid network for end-to- end text-independent speaker identification,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Hybrid network for end-to- end text-independent speaker identification,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.940312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.838928Z digest=sha256:9bcf527128ce870a6a8244713cf7a10065876bda8d1310d4a0fe20a1331fca8d

Observation 9a51c1fc-42c5-4410-ad2a-084a43f5d7f3 · outbound

This paper cites Discriminative wavelet packet filter bank selection for pattern recognition,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Discriminative wavelet packet filter bank selection for pattern recognition,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.926282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.854428Z digest=sha256:f949b3b0fd6e663ae74e4c0fe123e0fc96765f9d05ff0a664adad6242fa7cf62

Observation 573647ca-82fe-4004-940b-561d6d982283 · outbound

This paper cites Discrete wavelet transforms,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Discrete wavelet transforms,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.913084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.865160Z digest=sha256:81b32cf6fb9f3c4bad7c4a53d00fad4f4d0693fe92b0412be26de2d7ed41d3f9

Observation 96556cef-aeae-42bd-b00f-ba5250419882 · outbound

This paper cites The wavelet transform, time-frequency localization and signal analysis,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition The wavelet transform, time-frequency localization and signal analysis,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.899543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.870312Z digest=sha256:643fe4e7979d98495a243f09b9c5431c9fb481a13be92e9afea0b07c237b6cfe

Observation 0f9389d1-0bba-49b0-a390-7a81bf76e501 · outbound

This paper cites Time-frequency feature and ams- gmm mask for acoustic emotion classification,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Time-frequency feature and ams- gmm mask for acoustic emotion classification,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.885962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.874391Z digest=sha256:2066eb1116ebafb6764a233e0c9b751450b91743e74ff8db6a8e05ea2f6c8d2a

Observation 608b9352-3814-43f3-9bd9-8ccb11fd26da · outbound

This paper cites Particle swarm optimization based feature enhancement and feature selection for improved emotion recognition in speech and glottal signals,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Particle swarm optimization based feature enhancement and feature selection for improved emotion recognition in speech and glottal signals,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.871902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.878835Z digest=sha256:e78edae97697b97513071575df5bce5e6b146a460bb4a11af241063164379561

Observation 260414aa-eac1-49d0-b3de-0d1c5d25f6c3 · outbound

This paper cites Effectiveness of tuned q-factor wavelet trans- form in emotion recognition among left-brain damaged stroke patients,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Effectiveness of tuned q-factor wavelet trans- form in emotion recognition among left-brain damaged stroke patients,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.856670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.883578Z digest=sha256:5763c0d5050b7f45c4b4fd699088d7a78906c0508e2abbe98a0f5faa6efd1a22

Observation 30676545-2ded-462e-8fa1-a13b86bb3e99 · outbound

This paper cites Emotion recognition in human-computer interaction,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Emotion recognition in human-computer interaction,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.841449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.888171Z digest=sha256:19e84db837106c675d17a78efce0ef399483a47263a081ded388fc6e2de859e3

Observation 52159fa1-6de4-4574-966e-5b39a4739320 · outbound

This paper cites Speech emotion recognition: Comparison of speech segmentation approaches,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Speech emotion recognition: Comparison of speech segmentation approaches,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.826000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.892645Z digest=sha256:bf25da0ddbbdab715e5f56cf2ed618270b14b38cb0ac9408bd040fa94f022597

Observation a2c067ee-0a35-468a-ac02-de4ca38abe33 · outbound

This paper cites Wavelet theory and applica- tions: a literature study,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Wavelet theory and applica- tions: a literature study,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.810974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.897173Z digest=sha256:04fd32b64739a90066ecd61bfd9256a27b78450b1147564e40fe19e14196d512

Observation e2948b26-7d41-4ee7-a734-3b3406cb2ace · outbound

This paper cites Wavelet based feature combination for recognition of emotions,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Wavelet based feature combination for recognition of emotions,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.796046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.901628Z digest=sha256:b600c004bb518ae1aacb808f67d4a13f3e972a6876f5a53a7d0c14e2d0249474

Observation 37c6aae4-7957-486b-89dc-58aec69f60f9 · outbound

This paper cites Egyptian arabic speech emotion recognition using prosodic, spectral and wavelet features,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Egyptian arabic speech emotion recognition using prosodic, spectral and wavelet features,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.781163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.906487Z digest=sha256:3a8862464266e2948ec14038b38c178a8f6ec5829809f6fe44e872560cac24d1

Observation 639cdddd-a5de-44d6-925f-cd888334a7c1 · outbound

This paper cites Wavelet packet analysis for speaker-independent emotion recognition,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Wavelet packet analysis for speaker-independent emotion recognition,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.766120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.911024Z digest=sha256:0fa09dce12e11377cbb2794359700dd3ff91d46d4bf59f9cff74bfe6966abce9

Observation fe5a7289-4da9-4918-9e19-901da7c579c8 · outbound

This paper cites Emotion recognition in speech using mfcc and wavelet features,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Emotion recognition in speech using mfcc and wavelet features,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.751125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.915472Z digest=sha256:91934bc986b05a0ab09347a7cb1cba813305bee0260f67ebf6cef93a4907a673

Observation bdc3fd3a-2172-45fc-bc7f-a75fcf097c1b · outbound

This paper cites Feature fusion methods research based on deep belief networks for speech emotion recognition under noise condition,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Feature fusion methods research based on deep belief networks for speech emotion recognition under noise condition,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.735347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.920012Z digest=sha256:40944c90e6428207c7a18fb6fc44382bcacfd82f4abbe70827e299d0c628e408

Observation 77e603ff-5995-447f-bc01-19e1021c19f7 · outbound

This paper cites Emotion recognition from speech under environmental noise conditions using wavelet de- composition,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Emotion recognition from speech under environmental noise conditions using wavelet de- composition,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.718367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.924236Z digest=sha256:18413c625e931ef0facd157481bdeffad7560a0d3f4691fcbe357ccc981fbe18

Observation fc63c398-977a-40d4-b2cf-e293f3af96c6 · outbound

This paper cites Heisenberg’s uncertainty princi- ple,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Heisenberg’s uncertainty princi- ple,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.702926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.928875Z digest=sha256:ad898b4e60feeb2f93f7e69bb7f1904fca8297dd4afb9abf3af20fa331d06283

Observation 4df3ee43-17ae-4bfb-b381-abfd8b4c4793 · outbound

This paper cites Mallat, A Wavelet Tour of Signal Processing: The Sparse Way.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Mallat, A Wavelet Tour of Signal Processing: The Sparse Way

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.688567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.933443Z digest=sha256:70d76eb24e60322ffc91d3f73997a24674ae36868d1c6531465fa29e72ebe7ed

Observation 9b228a39-415b-4240-8890-03689e448e27 · outbound

This paper cites Perfect channel splitting by use of interpola- tion/decimation/tree decomposition techniques,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Perfect channel splitting by use of interpola- tion/decimation/tree decomposition techniques,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.674593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.937963Z digest=sha256:32deec228961797029ca54b8afd16dee551ee5eca3b4f9bf5e483138853803bf

Observation 6ba089a6-08b2-474b-ad86-46a351371a1a · outbound

This paper cites Network In Network.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Network In Network

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-09T19:31:03.942500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:31:03.942500Z digest=sha256:3ed34d65eb1ad0246461fc655c070168d0e358d057cd506f1a490ff55b5f7aeb

Observation a68b5280-003c-4804-a8ba-650231cd9137 · outbound

This paper cites A systematic literature review of speech emotion recognition approaches,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition A systematic literature review of speech emotion recognition approaches,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.660273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.947505Z digest=sha256:c43b92cfa0f87e4bbc465ad1a7ef1b7b9237b8652a23c61fa0ab469c357466e9

Observation 07e74db7-e79b-4255-b654-ba78a0299d22 · outbound

This paper cites Iemocap: Interactive emotional dyadic motion capture database,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Iemocap: Interactive emotional dyadic motion capture database,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-09T19:31:03.952067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:31:03.952067Z digest=sha256:d91ebe0c1560c35016cfabfb091e9f17308fe14dc947dc57f83b3df532b006d1

Observation 88e5ff28-99be-47bc-8edc-652b6bb54a6f · outbound

This paper cites Speech emotion recognition with acoustic and lexical features,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Speech emotion recognition with acoustic and lexical features,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.635415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.957161Z digest=sha256:4894250102c42c50f36a08ad8944d0c5cd3902f1f59b433a24266ea57bbe8a03

Observation 1a6e5fb1-ab2e-49c3-8acc-bff00f48dec3 · outbound

This paper cites Deep learning for robust feature generation in audiovisual emotion recognition,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Deep learning for robust feature generation in audiovisual emotion recognition,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.619767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.961817Z digest=sha256:19ff8a432f54758fa17c07c3ab122f1a6684c2aa2ab62a73867ffcc41a0d2ef2

Observation 3c4c0c52-846e-461e-b2c7-ade1b936a6c5 · outbound

This paper cites A database of german emotional speech.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition A database of german emotional speech

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-09T19:31:03.966295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:31:03.966295Z digest=sha256:7c41033a7b00037522d09c7c790ea4eb36b1b0ee8260d8e35c2b76a3ab038e63

Observation 96e79daa-4d1f-47b3-bf40-3295328cf151 · outbound

This paper cites A study of stratified random sampling,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition A study of stratified random sampling,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.593541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.970924Z digest=sha256:45a1528d20cfd854c27cea7a9a7581be53fdd3c7d1dea9daa5f923bc1d378a2c

Observation 9ff4512a-31c3-41cc-b438-ceea617a4975 · outbound

This paper cites Massively parallel hyperparameter tuning,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Massively parallel hyperparameter tuning,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.577513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.975337Z digest=sha256:4dd36537cd9199ca5d290dbbcc74b48c00c042a981feb9077ff23c8d5a62f163

Observation 2b7ee658-94c7-4c02-bf5c-2be43b97a1cc · outbound

This paper cites A system for massively parallel hyperpa- rameter tuning,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition A system for massively parallel hyperpa- rameter tuning,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.562922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.979758Z digest=sha256:098578ac2a2068d6e1a7b588dbabb1e36afdcbae02fc078abbee1481cc3a72b1

Observation e4abd243-9fc6-47c7-a421-c48a00563b2f · outbound

This paper cites Focal loss for dense object detection,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Focal loss for dense object detection,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-09T19:31:03.984060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:31:03.984060Z digest=sha256:421cc7040dd9231b80581d916e4eaf8e64af3bd8bb2e2967ad55a603be7c037b

Observation 3abd3c28-2369-4d7c-8101-76d6c105381d · outbound

This paper cites Adam: A method for stochastic optimization,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Adam: A method for stochastic optimization,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-09T19:31:03.988565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:31:03.988565Z digest=sha256:4f24930bc0899f07d4e0b31445c7603352004f8f8d8d2192f47fe5dd0d428ac0

Observation ae28f21e-b387-4f46-b844-9296b84a433f · outbound

This paper cites Light- sernet: A lightweight fully convolutional neural network for speech emo- tion recognition,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Light- sernet: A lightweight fully convolutional neural network for speech emo- tion recognition,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.529292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:03.997823Z digest=sha256:006b4dab0f591e0dc3f0957b7924b08ab8480e3479533c5e5b163a298f4ab3e5

Observation 266c1663-1025-4485-a3ea-eb6cb906f595 · outbound

This paper cites Speech emotion recognition with deep convolutional neural networks,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Speech emotion recognition with deep convolutional neural networks,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.514306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.002235Z digest=sha256:16d7b23b86b5bf84e14627ec507705814355844d9a62feacb81c7ca6611dcb3b

Observation 1e79a612-5a22-42cb-9096-a2e088d67dcb · outbound

This paper cites 3-d convolutional recurrent neural networks with attention model for speech emotion recognition,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition 3-d convolutional recurrent neural networks with attention model for speech emotion recognition,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.499917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.006505Z digest=sha256:3577732d910de95d6be43f929a4df03f8ab9581ddb023deb8dbcb838c3afb971

Observation 81b25b6a-962c-4dd0-b143-df695455cfa0 · outbound

This paper cites Speech emotion recognition from 3d log-mel spectrograms with deep learning network,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Speech emotion recognition from 3d log-mel spectrograms with deep learning network,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.485302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.010911Z digest=sha256:760aae0b62829732d0e1bc58f57fcecf8bf7a82bfdd0a42984b7687dd34e42dc

Observation c704c04e-6d58-41e0-b9c9-6b8b742bb83c · outbound

This paper cites Improved end-to-end speech emotion recognition using self attention mechanism and multitask learning.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Improved end-to-end speech emotion recognition using self attention mechanism and multitask learning

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.470197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.015285Z digest=sha256:f088d071410e28fe42e1afb94ecbe0ee03bc99a96bf0bdf5e58bfa1bfc9f39c7

Observation 48adb899-34ed-4686-95ff-1b62eb32d324 · outbound

This paper cites Deep scattering network for speech emotion recognition,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Deep scattering network for speech emotion recognition,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.454501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.019455Z digest=sha256:7a5780c31d2cafb22a2a678cf37fea5e88209c715ba1a9a6c8fb0cd1a3d66c89

Observation 1410db55-d299-4f30-9888-e71a3a7674be · outbound

This paper cites Speech emotion recognition using wavelet packet reconstruction with attention-based deep recurrent neutral networks,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Speech emotion recognition using wavelet packet reconstruction with attention-based deep recurrent neutral networks,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.439494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.023958Z digest=sha256:87dd68e2ff95fea800f969f00b11cd9a54dfccf905fa74ab6f8bc57b7f29171b

Observation 78153879-93fb-4ab3-a9c9-6ec11cd5e16a · outbound

This paper cites Mfcc and machine learning based speech emotion recog- nition over tess and iemocap datasets,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Mfcc and machine learning based speech emotion recog- nition over tess and iemocap datasets,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.424184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.028574Z digest=sha256:1ce5d4238bf746435758c04d1cb5272a8c612fb909022285b95a3ef98d886cd8

Observation 79327845-a626-4a73-9483-967e7b981023 · outbound

This paper cites A cross-corpus experiment in speech emotion recognition.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition A cross-corpus experiment in speech emotion recognition

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.409233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.033162Z digest=sha256:6d5b04f7c3de2b941c6a0a3fc9e542192a6e92a3f1a60c6ece40e1164af92735

Observation 353a6da0-f1aa-457f-9505-39c27a17dd6e · outbound

This paper cites Emotion recognition using speech data with convolutional neural network,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Emotion recognition using speech data with convolutional neural network,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.394534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.037747Z digest=sha256:ca5d015b6e8d7bc5a576ade21a2f5905ed0487e71b41c2351d6dc82289eadd61

Observation 20e38b0b-1144-4a6d-901f-ff264d500bf6 · outbound

This paper cites Improved speech emotion recognition with mel frequency magnitude coefficient,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Improved speech emotion recognition with mel frequency magnitude coefficient,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.379492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.042045Z digest=sha256:6b9418ab84d274c5677aeeb8099cd8a51078881d4e83efd463cb3fce3a0a0bdd

Observation 10d4d8f8-7c37-49af-b1b7-2d186332f628 · outbound

This paper cites Speech emotion recognition using deep convolutional neural networks improved by the fast continuous wavelet transform,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Speech emotion recognition using deep convolutional neural networks improved by the fast continuous wavelet transform,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.366155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.046606Z digest=sha256:96e48ee20e8e121d56dbae7c4f55f27427d3eda1dc99afefc471f444d9076d25

Observation 526afa41-d420-49c8-8117-ed3b0e0e5a0c · outbound

This paper cites Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.351150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.050795Z digest=sha256:dce20e6d2c671f12a3e577523e5a7becd77891454ab3f0f3079b239b828c3236

Observation 51147aa3-9c57-4a22-8797-568ee83f74a0 · outbound

This paper cites The amalgamation of wavelet packet information gain entropy tuned source and system parameters for improved speech emotion recognition,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition The amalgamation of wavelet packet information gain entropy tuned source and system parameters for improved speech emotion recognition,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.336218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.055630Z digest=sha256:f106b448818440456d0e09ebc264a13dc7656f81339c2c7c65faf81074c254a4

Observation d397e3e5-5a7f-43df-aad3-d6d798c7f49b · outbound

This paper cites Speech emotion recognition system based on wavelet transform and multi-task learning,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Speech emotion recognition system based on wavelet transform and multi-task learning,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.319241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.061104Z digest=sha256:f79d81d3d91f82a53bda6320447f573e79eac7ff11c9ab167bdcdd37cc072483

Observation 104f3cd4-00ea-4f88-92d4-e5a94e23125a · outbound

This paper cites The effects of normalisation methods on speech emotion recognition,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition The effects of normalisation methods on speech emotion recognition,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.302296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.066044Z digest=sha256:5a2edb520ae6e01bb844c35764227d131a56838c1b14a327f26b5313a87d649a

Observation 1732f1b9-89f9-4363-bdf4-e90a2e1beed7 · outbound

This paper cites Empirical Evaluation of Rectified Activations in Convolutional Network.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-09T19:31:04.070443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:31:04.070443Z digest=sha256:33a2e2ca88fcb8a6b7f04d4a82ffc41cae8c647e1da8093c81340f700b719f21

Observation 4b30474d-9a50-4a03-b002-5dc3195a33e3 · outbound

This paper cites Rectifier nonlinearities improve neural network acoustic models,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Rectifier nonlinearities improve neural network acoustic models,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.287212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.075504Z digest=sha256:af7712efc0648031c2ddd01a451a37529adc0c7daf46f42297beed541dd096bc

Observation 9a1d2a88-5960-4fca-a333-5e2bca24e753 · outbound

This paper cites Learn To Pay Attention.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Learn To Pay Attention

Reference 78

Resolution
verified exact
local_arxiv, observed 2026-08-09T19:31:04.161488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.079951Z digest=sha256:b8374a60e6a6489f0e9c1a5cdf4cfeedb6fcfac1076b6d7b2dec7cc7f547b795

Observation 4f091df6-d6c3-4da3-816f-82bf3596b1a8 · outbound

This paper cites Hadamard products and multivariate statistical analysis,.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Hadamard products and multivariate statistical analysis,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.271665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.085343Z digest=sha256:b9946deac0f52df04a5ccaaec0c974e4e0615a363f5e3d5cf6701dfa9ece2bef

Observation 466a610a-33f6-4f0a-90fb-e575ca47f122 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-09T19:31:04.089731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:31:04.089731Z digest=sha256:c0892b0da337786618b19b293b1f530caee38cd89a5f5f469382e7f34ff5bae8

Observation 86c3c254-a79e-4328-b89b-6c34fd1c8852 · outbound

This paper cites He is the author or co-author of over 500 publications in several prestigious journals and conferences.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition He is the author or co-author of over 500 publications in several prestigious journals and conferences

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.240996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.099336Z digest=sha256:927dd03fbcb381139b7798d36eb79032f591d40663c49fc070a42e45e21a2072

Observation d681133b-214c-4949-9429-7fe42ef63059 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Adam: A Method for Stochastic Optimization

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-09T19:31:03.993112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:31:03.993112Z digest=sha256:fcf54d8175e3526f51a003b29ef20332dd111d2a3a9d9b5812cd28bfdaae7ea6

Observation 4d5b1252-8d25-4a1c-94e3-0dd4f1f2bd8d · outbound

This paper cites Currently, he is pursuing a Ph.D.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Currently, he is pursuing a Ph.D

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:31:04.256071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T19:31:04.094785Z digest=sha256:9a3f4fd2f715274a65842dc15d7845863855ebac5dcb5daef0486feb06521375

Pith citing papers

No inbound Pith citation observations are available.