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Paper Citation Record · LEDGER

Performance and Complexity Trade-off Optimization of Speech Models During Training

As of 10 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2601.13704.

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

pith.paper-citation-record.v1
2601.13704 v3

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

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measured 59 of 59 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

59 of 59 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef4fb39b-5818-41db-a52d-baa881a0ee90 · outbound

This paper cites Speech enhancement algorithms: A systematic literature review,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Speech enhancement algorithms: A systematic literature review,

Reference 1

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Observation efb4571b-25da-4e00-a154-76cc187f0685 · outbound

This paper cites A survey on speech deepfake detection,.

Performance and Complexity Trade-off Optimization of Speech Models During Training A survey on speech deepfake detection,

Reference 2

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Observation c845b386-3215-4e71-a0c3-0444e7386d4d · outbound

This paper cites Automatic speech recognition using advanced deep learning approaches: A survey,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Automatic speech recognition using advanced deep learning approaches: A survey,

Reference 3

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Observation 4fec4a10-046e-449a-b94b-c86d90fd97dd · outbound

This paper cites Reshape dimensions network for speaker recognition,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Reshape dimensions network for speaker recognition,

Reference 5

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Observation 792a7f45-a7c3-493d-a770-834f31e3e0ab · outbound

This paper cites Exploring the accuracy – energy trade-off in machine learning,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Exploring the accuracy – energy trade-off in machine learning,

Reference 6

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Observation 00cf0e61-805c-45a5-949a-b1b7b6e7ed30 · outbound

This paper cites Dropout: a simple way to prevent neural networks from over- fitting,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Dropout: a simple way to prevent neural networks from over- fitting,

Reference 7

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Observation 0ed10fa2-aefa-4489-96b2-858848794451 · outbound

This paper cites L2 regularization for learning kernels,.

Performance and Complexity Trade-off Optimization of Speech Models During Training L2 regularization for learning kernels,

Reference 8

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Observation 82e72909-f31c-4262-8071-3090a1e86dfb · outbound

This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.

Performance and Complexity Trade-off Optimization of Speech Models During Training Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 9

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Observation aad2200d-3397-4389-84ce-7ffb08dcfaa7 · outbound

This paper cites A survey of quantization methods for efficient neural network infer- ence,.

Performance and Complexity Trade-off Optimization of Speech Models During Training A survey of quantization methods for efficient neural network infer- ence,

Reference 10

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Observation d684b05a-28ff-446b-b62b-220397ce32c8 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Performance and Complexity Trade-off Optimization of Speech Models During Training Distilling the Knowledge in a Neural Network

Reference 11

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Observation 49c59adb-41f9-4a56-9750-fbcc52e744a6 · outbound

This paper cites Knowledge distillation: A survey,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Knowledge distillation: A survey,

Reference 12

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Observation b3e63ee5-b793-4a5f-8b4a-89ea7db33d49 · outbound

This paper cites Learning both weights and con- nections for efficient neural network,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Learning both weights and con- nections for efficient neural network,

Reference 13

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Observation 1c94f35a-e542-499b-9415-73b4ca8c433c · outbound

This paper cites Hardware acceleration of sparse and irregular tensor computations of ml models: A survey and insights,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Hardware acceleration of sparse and irregular tensor computations of ml models: A survey and insights,

Reference 14

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Observation 68c925ff-c15f-4ea6-939d-f3940b319226 · outbound

This paper cites Compressing Deep Neural Networks via Layer Fusion.

Performance and Complexity Trade-off Optimization of Speech Models During Training Compressing Deep Neural Networks via Layer Fusion

Reference 15

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Observation 9cbc3926-cdf3-4238-aa3f-42a6936aed26 · outbound

This paper cites The lottery ticket hypothesis: Finding sparse, trainable neural networks,.

Performance and Complexity Trade-off Optimization of Speech Models During Training The lottery ticket hypothesis: Finding sparse, trainable neural networks,

Reference 16

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Observation 2b9a6df3-de4a-4c5f-9518-dc9aefcf2112 · outbound

This paper cites Optimal brain damage,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Optimal brain damage,

Reference 17

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Observation 9a62106a-7e1c-4b5a-9915-5392c54ead0b · outbound

This paper cites Pruning convolutional neural networks for resource efficient inference,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Pruning convolutional neural networks for resource efficient inference,

Reference 18

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Observation 78036080-64bf-4efa-bd43-728a1c71c773 · outbound

This paper cites To prune, or not to prune: exploring the efficacy of pruning for model compression,.

Performance and Complexity Trade-off Optimization of Speech Models During Training To prune, or not to prune: exploring the efficacy of pruning for model compression,

Reference 19

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Observation 7aa30c56-b1eb-450a-8417-78b80f3c2b94 · outbound

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Performance and Complexity Trade-off Optimization of Speech Models During Training The State of Sparsity in Deep Neural Networks

Reference 20

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Observation 9f7ad059-92ab-4921-828c-bfa18ce19efe · outbound

This paper cites Dynamic model pruning with feedback,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Dynamic model pruning with feedback,

Reference 21

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Observation 97b06b12-d688-4b99-8bca-460addac2309 · outbound

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Performance and Complexity Trade-off Optimization of Speech Models During Training A unified framework for soft threshold pruning,

Reference 22

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Observation ac12bff7-c02e-427d-9eff-303bc5b3e2f5 · outbound

This paper cites End-to-end speech translation with knowledge distillation,.

Performance and Complexity Trade-off Optimization of Speech Models During Training End-to-end speech translation with knowledge distillation,

Reference 23

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Source-reported events for the cited work

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Observation 53c5516c-51e7-4c8b-9bae-9121d32d09d6 · outbound

This paper cites Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling.

Performance and Complexity Trade-off Optimization of Speech Models During Training Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling

Reference 24

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Observation 26930384-d62e-4d5e-87fa-1dd06aa9521b · outbound

This paper cites Learning from yourself: A self-distillation method for fake speech detection,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Learning from yourself: A self-distillation method for fake speech detection,

Reference 25

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Observation 78fe3358-75fe-448a-8cbb-22cd5d2af0dd · outbound

This paper cites Knowledge distillation- based training of speech enhancement for noise-robust automatic speech recognition,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Knowledge distillation- based training of speech enhancement for noise-robust automatic speech recognition,

Reference 26

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Observation 97d31398-4660-4311-a552-77776d5574a7 · outbound

This paper cites Neural Architecture Search: Insights from 1000 Papers.

Performance and Complexity Trade-off Optimization of Speech Models During Training Neural Architecture Search: Insights from 1000 Papers

Reference 27

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Observation f4c1ea61-8eb4-4972-9fdf-e56f2f758403 · outbound

This paper cites Nas-scae: Searching compact attention-based encoders for end-to-end automatic speech recognition,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Nas-scae: Searching compact attention-based encoders for end-to-end automatic speech recognition,

Reference 29

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Observation af5d8314-36a3-4cf6-833d-d71f8022123c · outbound

This paper cites Nas-tasnet: Neural architecture search for time-domain speech separation,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Nas-tasnet: Neural architecture search for time-domain speech separation,

Reference 30

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Observation 32d5e082-4e5d-45aa-83f0-17d2b37bf269 · outbound

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Performance and Complexity Trade-off Optimization of Speech Models During Training Nas-bench-101: Towards reproducible neural architecture search,

Reference 31

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Observation e863569a-8864-4fb4-8cc2-f1929b3a2ae6 · outbound

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Performance and Complexity Trade-off Optimization of Speech Models During Training Dynamic neural networks: A survey,

Reference 32

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Observation 4fff50bf-0f3b-4077-99c5-6168f4676ccd · outbound

This paper cites Dynamic nsnet2: Efficient deep noise suppression with early exiting,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Dynamic nsnet2: Efficient deep noise suppression with early exiting,

Reference 33

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Observation 46b1b9b1-db9b-41f0-bd46-7bd7a6a6aba7 · outbound

This paper cites Adaptive slimming for scalable and efficient speech enhancement,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Adaptive slimming for scalable and efficient speech enhancement,

Reference 34

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Observation e739f721-f1e2-4ce8-9a09-04b7154d2cc6 · outbound

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Performance and Complexity Trade-off Optimization of Speech Models During Training Unresolved cited work

Reference 35

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Observation 169ab9e0-a828-46b9-951e-06694dee3827 · outbound

This paper cites B ¨ackstr¨om, O.

Performance and Complexity Trade-off Optimization of Speech Models During Training B ¨ackstr¨om, O

Reference 36

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Performance and Complexity Trade-off Optimization of Speech Models During Training Recurrent neural networks for voice activity detection,

Reference 37

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Performance and Complexity Trade-off Optimization of Speech Models During Training A convolutional neural network smartphone app for real-time voice activity detection,

Reference 38

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Observation c790ae9e-a20a-45c2-9b0f-3d370e714f8e · outbound

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Performance and Complexity Trade-off Optimization of Speech Models During Training Real-life voice activity detection with lstm recurrent neural networks and an application to hollywood movies,

Reference 39

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Observation de16ecfc-f266-4409-b8da-651cd9cfacf1 · outbound

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Performance and Complexity Trade-off Optimization of Speech Models During Training Deep neural networks for voice activity detection,

Reference 40

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Observation 58b47711-5d00-437a-b5db-ca3119448be3 · outbound

This paper cites V oice activity detection in the wild: A data-driven approach using teacher-student training,.

Performance and Complexity Trade-off Optimization of Speech Models During Training V oice activity detection in the wild: A data-driven approach using teacher-student training,

Reference 41

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Observation dac0d72d-f2c7-4a0d-9712-a56089a6bff4 · outbound

This paper cites EARS: An anechoic fullband speech dataset benchmarked for speech enhancement and dereverberation,.

Performance and Complexity Trade-off Optimization of Speech Models During Training EARS: An anechoic fullband speech dataset benchmarked for speech enhancement and dereverberation,

Reference 42

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation bc405551-b3f5-4c90-ad3b-d7e071941662 · outbound

This paper cites Pyroomacoustics: A python package for audio room simulation and array processing algorithms,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Pyroomacoustics: A python package for audio room simulation and array processing algorithms,

Reference 43

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Observation 604b2130-d5ff-4493-a9f8-4ea2c124421f · outbound

This paper cites CSTR VCTK corpus: English multi-speaker corpus for CSTR voice cloning toolkit (version 0.92),.

Performance and Complexity Trade-off Optimization of Speech Models During Training CSTR VCTK corpus: English multi-speaker corpus for CSTR voice cloning toolkit (version 0.92),

Reference 45

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Observation b68bd2ed-06b5-4af1-acc4-0e087bad6a78 · outbound

This paper cites ESC: Dataset for Environmental Sound Classification,.

Performance and Complexity Trade-off Optimization of Speech Models During Training ESC: Dataset for Environmental Sound Classification,

Reference 46

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Observation b1124bb9-e17f-4bff-ba4f-e88afa913885 · outbound

This paper cites Silero V AD: pre-trained enterprise-grade voice activity detec- tor (V AD), number detector and language classifier,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Silero V AD: pre-trained enterprise-grade voice activity detec- tor (V AD), number detector and language classifier,

Reference 47

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Observation bb90af31-91b8-4bd3-a2a1-9b7c0fcaedb3 · outbound

This paper cites moduleprofiler,.

Performance and Complexity Trade-off Optimization of Speech Models During Training moduleprofiler,

Reference 48

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Observation 8b89f8f3-fa81-4e9f-b7c7-cca2c5b10841 · outbound

This paper cites A Survey on Speech Deepfake Detection.

Performance and Complexity Trade-off Optimization of Speech Models During Training A Survey on Speech Deepfake Detection

Reference 49

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Observation 10402ce1-14d8-422d-8221-905574e4f688 · outbound

This paper cites Rw-resnet: A novel speech anti-spoofing model using raw waveform,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Rw-resnet: A novel speech anti-spoofing model using raw waveform,

Reference 50

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-03T09:35:42.796695Z digest=sha256:f161956baccd7a60a4774b3ac8d65a30a4faade053ed6cceca16d6057e9cfc45

Observation c40c2cf9-bc86-4a3b-9701-0f44dbf1d924 · outbound

This paper cites End-to-end anti-spoofing with rawnet2,.

Performance and Complexity Trade-off Optimization of Speech Models During Training End-to-end anti-spoofing with rawnet2,

Reference 51

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Observation 6308a8ab-fd16-469e-bce5-c631eb2ffa1f · outbound

This paper cites AASIST: Audio anti-spoofing using integrated spectro-temporal graph attention networks,.

Performance and Complexity Trade-off Optimization of Speech Models During Training AASIST: Audio anti-spoofing using integrated spectro-temporal graph attention networks,

Reference 52

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Observation 01727606-5213-46d2-b352-c1f012bef85a · outbound

This paper cites Audio anti-spoofing based on audio feature fusion,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Audio anti-spoofing based on audio feature fusion,

Reference 53

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 016b7fc4-4b6e-4c34-9aeb-afaa796171cf · outbound

This paper cites Frame-to-utterance convergence: A spectra-temporal approach for unified spoofing detection,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Frame-to-utterance convergence: A spectra-temporal approach for unified spoofing detection,

Reference 54

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Observation ca885b42-bada-488c-9f3e-6a4154cb87cb · outbound

This paper cites ASVspoof 5: Crowdsourced speech data, deepfakes, and adversarial attacks at scale,.

Performance and Complexity Trade-off Optimization of Speech Models During Training ASVspoof 5: Crowdsourced speech data, deepfakes, and adversarial attacks at scale,

Reference 55

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Observation a4fcacaf-95d7-4423-acd4-178aaa32327a · outbound

This paper cites ASVspoof 2019: Automatic speaker verification spoofing and coun- termeasures challenge evaluation plan,.

Performance and Complexity Trade-off Optimization of Speech Models During Training ASVspoof 2019: Automatic speaker verification spoofing and coun- termeasures challenge evaluation plan,

Reference 56

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Observation 7f6d655f-99d8-47dc-8860-152eed2e45b3 · outbound

This paper cites Deep residual learning for image recognition,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Deep residual learning for image recognition,

Reference 57

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Observation 543a175b-cbd7-4033-b333-f263c4e6850a · outbound

This paper cites Attentive statistics pooling for deep speaker embedding,.

Performance and Complexity Trade-off Optimization of Speech Models During Training Attentive statistics pooling for deep speaker embedding,

Reference 58

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Observation c4feb139-fce7-4043-83e5-587974fa34ce · outbound

This paper cites ASVspoof 2019: Future horizons in spoofed and fake audio detection,.

Performance and Complexity Trade-off Optimization of Speech Models During Training ASVspoof 2019: Future horizons in spoofed and fake audio detection,

Reference 59

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Observation 0cd3ac2d-7c78-4c3f-8b47-55d627016cfb · outbound

This paper cites Security and Privacy in Speech Communication.

Performance and Complexity Trade-off Optimization of Speech Models During Training Security and Privacy in Speech Communication

Reference 62

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Observation d6aa54ec-0135-4d96-a453-f2bee627217f · outbound

This paper cites Available: https://doi.ieeecomputersociety.org/10.1109/ TPAMI.2021.3117837.

Performance and Complexity Trade-off Optimization of Speech Models During Training Available: https://doi.ieeecomputersociety.org/10.1109/ TPAMI.2021.3117837

Reference 2021

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Observation c9b95e8d-18f2-4745-af89-7114583dbd0f · outbound

This paper cites Available: https://doi.org/10.3390/a18050272.

Performance and Complexity Trade-off Optimization of Speech Models During Training Available: https://doi.org/10.3390/a18050272

Reference 2025

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Pith citing papers

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