Paper Citation Record · LEDGER

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features

As of 21 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.19248.

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

pith.paper-citation-record.v1
2412.19248 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:52:00.506822Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

38 of 38 outbound references displayed

verified exact2
verified fuzzy32
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0338c91-d433-4431-8085-492a15e1b541 · outbound

This paper cites Speech enhancement based on deep denoising autoencoder,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Speech enhancement based on deep denoising autoencoder,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:01.317923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5bbe123e-f4c9-4b6e-899b-4c8d6e35c7c5 · outbound

This paper cites An experimental study on speech enhancement based on deep neural networks,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features An experimental study on speech enhancement based on deep neural networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:01.300214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 78b534da-3370-40ba-9434-3154e846fd68 · outbound

This paper cites Multiple-target deep learning for LSTM- RNN based speech enhancement,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Multiple-target deep learning for LSTM- RNN based speech enhancement,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:01.279307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6bf00319-956b-4f9d-9590-9704d915e1a3 · outbound

This paper cites Phase-aware speech enhancement with deep complex U-net,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Phase-aware speech enhancement with deep complex U-net,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:01.233166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 623d7b29-92c5-4d16-8562-404e398360f5 · outbound

This paper cites U-net: Convolu - tional networks for biomedical image segmentation,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features U-net: Convolu - tional networks for biomedical image segmentation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:01.214091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2400ff14-fab8-4a6c-8b88-69288592d0c8 · outbound

This paper cites DCCRN: Deep complex convolution recurrent network for phase-aware speech enhancement,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features DCCRN: Deep complex convolution recurrent network for phase-aware speech enhancement,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:01.195587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ab4a1127-1756-4997-9ed1-53ecbadbf73c · outbound

This paper cites The interspeech 2020 deep noise suppres- sion challenge: Datasets, subjective testing framework, a nd challenge results,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features The interspeech 2020 deep noise suppres- sion challenge: Datasets, subjective testing framework, a nd challenge results,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:01.176176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 32dc520e-2811-44ed-bf88-3b2604c860b2 · outbound

This paper cites MP-SENet: A speech enhancement model with parallel denoising of magnitude and phase spectra,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features MP-SENet: A speech enhancement model with parallel denoising of magnitude and phase spectra,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:01.147750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8cf34b5d-4ac9-4682-8ea6-2e91414d52b0 · outbound

This paper cites Conv-TasNet: Surpassing idea l time–frequency magnitude masking for speech separation,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Conv-TasNet: Surpassing idea l time–frequency magnitude masking for speech separation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:01.126647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ee3f4c51-2ae9-4b5a-8a82-568ae96ea6c5 · outbound

This paper cites A time–frequency smoothing neural network for speech enhancement,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features A time–frequency smoothing neural network for speech enhancement,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:01.107689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 849031e7-5b10-40f7-9197-a285c2e1f07c · outbound

This paper cites A perceptually-motivated approach for low-complexity, real-time enhancement of fullband speech ,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features A perceptually-motivated approach for low-complexity, real-time enhancement of fullband speech ,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:01.088323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 81089274-0dd3-4dd2-87fe-865d98715306 · outbound

This paper cites DCCRN+: Channel-wise Subband DCCRN with SNR Estimation for Speech Enhancement.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features DCCRN+: Channel-wise Subband DCCRN with SNR Estimation for Speech Enhancement

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:00.346224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73119cd4-59b6-4db9-90f5-027640c16634 · outbound

This paper cites Lightweight full-band and sub-ba nd fusion network for real time speech enhancement,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Lightweight full-band and sub-ba nd fusion network for real time speech enhancement,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:01.069957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 33d6cf69-1c7e-45c2-a585-f8542bb3cc44 · outbound

This paper cites OSSEM: One-shot speaker adaptive speech enhancement using meta learning,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features OSSEM: One-shot speaker adaptive speech enhancement using meta learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:01.047431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ce81bb1f-6833-479f-9802-1896cb32f02a · outbound

This paper cites WavLM: Large-scale self-supervised pre- training for full stack speech processing,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features WavLM: Large-scale self-supervised pre- training for full stack speech processing,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:01.027231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6d1b51aa-e99b-4998-b9a0-7aaaac729662 · outbound

This paper cites Self-supervised Learning for Speech Enhancement.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Self-supervised Learning for Speech Enhancement

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:52:00.655182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6dbdb1f6-9df7-450a-bb24-1d9ed3ed0eda · outbound

This paper cites Self-supervised denoising autoencoder with linear regression decoder for speech enhancement,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Self-supervised denoising autoencoder with linear regression decoder for speech enhancement,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:01.006440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b162383-a531-4cd1-b667-a97fc6190a3b · outbound

This paper cites Boosting self-supervised embeddings for speech enhancement,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Boosting self-supervised embeddings for speech enhancement,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:00.986787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 79ffc082-b4fe-499a-9f25-681e7de718e3 · outbound

This paper cites On generative spoken language modeling from raw audio,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features On generative spoken language modeling from raw audio,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:00.965992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2d8ad8df-8085-4e76-8839-48ce7140bcf3 · outbound

This paper cites Analysing discrete self super vised speech representation for spoken language modeling,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Analysing discrete self super vised speech representation for spoken language modeling,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:00.942187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a4f53eb0-3ea5-4465-9b88-80046776beea · outbound

This paper cites SELM: Speech enhancement using discrete tokens and language models,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features SELM: Speech enhancement using discrete tokens and language models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:00.924195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de2112e8-330e-4845-ba48-d41723859f7e · outbound

This paper cites UniAudio: An Audio Foundation Model Toward Universal Audio Generation.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features UniAudio: An Audio Foundation Model Toward Universal Audio Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:00.409922Z

Source-reported events for the cited work

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Observation eacd1cd2-5973-4566-9e60-6894f9e1bb43 · outbound

This paper cites Speechx: Neural codec language model as a versatile speech transformer,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Speechx: Neural codec language model as a versatile speech transformer,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:00.905524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3227b3cd-2699-4297-9068-62b2688076cb · outbound

This paper cites Low-latenc y incremental text-to-speech synthesis with distilled cont ext prediction network,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Low-latenc y incremental text-to-speech synthesis with distilled cont ext prediction network,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:00.889762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 04bf711c-b779-4ac8-bc2c-9ad18141eaeb · outbound

This paper cites DualVC 3: Leveraging language model gen- erated pseudo context for end-to-end low latency streaming voice conversion,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features DualVC 3: Leveraging language model gen- erated pseudo context for end-to-end low latency streaming voice conversion,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:00.871896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation af42f6a9-4d61-4bbb-9759-bc780c4708dc · outbound

This paper cites The voice bank corp us: Design, collection and data analysis of a large regional acc ent speech database,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features The voice bank corp us: Design, collection and data analysis of a large regional acc ent speech database,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:00.847719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b30ddaa7-0d7b-4d40-b386-efc6fbd3f3b6 · outbound

This paper cites The diverse enviro n- ments multi-channel acoustic noise database (demand): A database of multichannel environmental noise recordings,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features The diverse enviro n- ments multi-channel acoustic noise database (demand): A database of multichannel environmental noise recordings,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:00.828753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 91e44e7b-06bc-4daa-abc3-be6d853ab5e7 · outbound

This paper cites Investigating rnn-based speech enhancement methods for noise-robust text-to-speech.,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Investigating rnn-based speech enhancement methods for noise-robust text-to-speech.,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:00.811640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f8d080e0-7e66-4a48-9b1f-65d93bcbb844 · outbound

This paper cites Boosting objective scores of a speech enhancement model by metricgan post-processing,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Boosting objective scores of a speech enhancement model by metricgan post-processing,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:00.794891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b413a75a-af94-41b8-a8e0-6d45bb11ee3a · outbound

This paper cites Run-and-back stitch search: Novel block synchronous decoding for streaming encoder-decoder ASR,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Run-and-back stitch search: Novel block synchronous decoding for streaming encoder-decoder ASR,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:00.776280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 08edef8c-21fd-4b8d-8b88-70942d38ea4b · outbound

This paper cites Attention is all you need,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Attention is all you need,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:00.755969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b83fc670-6bc5-4283-96d4-a545d86e7ccf · outbound

This paper cites FiLM: Visual reasoning with a general conditioning layer,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features FiLM: Visual reasoning with a general conditioning layer,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:00.737350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c37cd139-7a05-4392-b4b7-78c605da9ebf · outbound

This paper cites RepCodec: A Speech Representation Codec for Speech Tokenization.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features RepCodec: A Speech Representation Codec for Speech Tokenization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:00.476175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c57409c-2123-4000-8ba9-8a04f5ba34aa · outbound

This paper cites Generating diverse high-ﬁdelity images with VQ-V AE-2,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Generating diverse high-ﬁdelity images with VQ-V AE-2,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:00.713196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae2ee173-6146-4b39-a091-42b0cedb1bdb · outbound

This paper cites Autoregressive Speech Synthesis without Vector Quantization.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Autoregressive Speech Synthesis without Vector Quantization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:00.486868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff297ac-ceaa-48ca-8f2a-584a9ea323c9 · outbound

This paper cites Evaluation of objective quality measures for speech enhancement,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Evaluation of objective quality measures for speech enhancement,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:00.693386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 54e18c4c-abb7-4583-b8dc-9904a50ea83e · outbound

This paper cites Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:52:00.565646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation db4c6660-4363-48ae-882c-3910610a5500 · outbound

This paper cites A convolutional recurrent neural network for real-time speech enhancement,.

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features A convolutional recurrent neural network for real-time speech enhancement,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:01.253451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.