Paper Citation Record · LEDGER

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders

As of 23 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 3 inbound Pith citation observations for arXiv:2506.11514.

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

pith.paper-citation-record.v1
2506.11514 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:08:06.143496Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:08:06.017812Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T10:19:19.988690Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy25
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1fb6ef98-4b73-41a4-8a9e-c6e92ab45acf · outbound

This paper cites Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders

Reference 1

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Source-reported events for the cited work

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Observation 94af3400-db19-481f-aa01-a6bc7d313a5b · outbound

This paper cites Initially, the noisy speech is in- put into a pre-trained audioencoder, yielding a noisy embed- ding.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Initially, the noisy speech is in- put into a pre-trained audioencoder, yielding a noisy embed- ding

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.587503Z

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Observation b4b4b440-9b58-484d-96fe-ead2390b686c · outbound

This paper cites an unresolved cited work.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:08:06.574670Z

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Observation 194a25e2-3185-40aa-9539-6ba08f168309 · outbound

This paper cites Evaluation of Different Audioencoders Table 1 presents the evaluation results for both Valentini and the DNS1 test sets.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Evaluation of Different Audioencoders Table 1 presents the evaluation results for both Valentini and the DNS1 test sets

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.562295Z

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Observation c2fc0189-b819-4ab8-8656-fae20c8e6be1 · outbound

This paper cites However, we chose not to im- plement global fine-tuning due to several compelling considera- tions.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders However, we chose not to im- plement global fine-tuning due to several compelling considera- tions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.549222Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 91b66f77-e406-4954-9188-4d184bf9c076 · outbound

This paper cites Sixty years of frequency-domain monaural speech en- hancement: From traditional to deep learning methods,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Sixty years of frequency-domain monaural speech en- hancement: From traditional to deep learning methods,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.536166Z

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Observation 6a33cc81-233a-4239-b00d-ca0b57ef1ae9 · outbound

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

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.523004Z

Source-reported events for the cited work

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Observation 16e3ce00-193b-43c4-9cd4-dc2b0555c7d8 · outbound

This paper cites Investigating self-supervised learning for speech enhancement and separation,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Investigating self-supervised learning for speech enhancement and separation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.509298Z

Source-reported events for the cited work

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Observation 821a9334-7071-416b-90b2-b798b9e3be89 · outbound

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

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Boosting self-supervised embeddings for speech en- hancement,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.496920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9f083602-497a-453b-bdde-bdb018bfc50c · outbound

This paper cites Hifi-gan-2: Studio-quality speech enhancement via generative adversarial networks condi- tioned on acoustic features,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Hifi-gan-2: Studio-quality speech enhancement via generative adversarial networks condi- tioned on acoustic features,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.483684Z

Source-reported events for the cited work

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Observation e0832bad-0498-4c6f-af4c-13bf0aa68a83 · outbound

This paper cites Self- supervised learning for speech enhancement through synthesis,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Self- supervised learning for speech enhancement through synthesis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.469679Z

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Observation 8956349b-807f-4df5-940f-9aed9caa59a9 · outbound

This paper cites Speech enhancement using self-supervised pre-trained model and vector quantization,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Speech enhancement using self-supervised pre-trained model and vector quantization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.456495Z

Source-reported events for the cited work

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Observation fe672b60-c3fa-4c2c-8b61-e7df5057c781 · outbound

This paper cites Spectrum-aware neural vocoder based on self-supervised learning for speech en- hancement,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Spectrum-aware neural vocoder based on self-supervised learning for speech en- hancement,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.443339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0600bf9b-ee11-4e26-a7ac-b8523019649c · outbound

This paper cites Robust speech recognition via large-scale weak su- pervision,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Robust speech recognition via large-scale weak su- pervision,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.430102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 78e45e2c-58f7-452f-8e0e-df3646513ad7 · outbound

This paper cites Scaling up masked audio encoder learning for general audio clas- sification,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Scaling up masked audio encoder learning for general audio clas- sification,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.416406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8cbfa58e-d258-464d-8571-73b201d27bd7 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 16

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Source-reported events for the cited work

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Observation b55dffe9-05b2-41cb-bde1-7f3dcca9ea0b · outbound

This paper cites Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:06.083636Z

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Observation 4e2f6a25-28f6-4f65-a319-759e50a6b672 · outbound

This paper cites A convnet for the 2020s,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders A convnet for the 2020s,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.393348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ad49f2c2-a813-4000-ba92-5c97d03bd89b · outbound

This paper cites Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.380228Z

Source-reported events for the cited work

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Observation 015f427d-71f2-40dc-a315-0d46202708e9 · outbound

This paper cites Univnet: A neural vocoder with multi-resolution spectrogram discriminators for high-fidelity waveform generation,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Univnet: A neural vocoder with multi-resolution spectrogram discriminators for high-fidelity waveform generation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.367512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e644d89-d490-4625-a027-58817d7c87e1 · outbound

This paper cites Icassp 2022 deep noise suppression challenge,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Icassp 2022 deep noise suppression challenge,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.354996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 005203e4-c15e-4811-856e-2cf7679a06ae · outbound

This paper cites Common voice: A massively-multilingual speech corpus,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Common voice: A massively-multilingual speech corpus,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:06.105272Z

Source-reported events for the cited work

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Observation 177b6447-70a6-4449-bf7a-42d62939e550 · outbound

This paper cites The interspeech 2020 deep noise suppression challenge: Datasets, subjective testing framework, and challenge results,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders The interspeech 2020 deep noise suppression challenge: Datasets, subjective testing framework, and challenge results,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.332913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4d0a91ee-a820-488a-9f06-5800ad7b1933 · outbound

This paper cites Noisy speech database for training speech enhancement algorithms and tts models,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Noisy speech database for training speech enhancement algorithms and tts models,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:06.112729Z

Source-reported events for the cited work

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Observation f08c71a4-10d8-4eda-b6ca-fda006edfadb · outbound

This paper cites An al- gorithm for intelligibility prediction of time–frequency weighted noisy speech,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders An al- gorithm for intelligibility prediction of time–frequency weighted noisy speech,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.309820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8687c7b8-5ffd-4cfe-bec6-099e4f21ea80 · outbound

This paper cites Perceptual eval- uation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Perceptual eval- uation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.295494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 57492f85-3f4b-4f85-9444-402d7b3764e1 · outbound

This paper cites Dnsmos p.835: A non- intrusive perceptual objective speech quality metric to evaluate noise suppressors,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Dnsmos p.835: A non- intrusive perceptual objective speech quality metric to evaluate noise suppressors,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.280596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 15e528b2-7e8b-4eae-b1ad-105d3314341e · outbound

This paper cites Nisqa: A deep cnn-self-attention model for multidimensional speech quality pre- diction with crowdsourced datasets,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Nisqa: A deep cnn-self-attention model for multidimensional speech quality pre- diction with crowdsourced datasets,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.266520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ad22ee1e-d929-40c3-9c52-12ed827488c8 · outbound

This paper cites Ecapa-tdnn: Emphasized channel attention, propagation and aggregation in tdnn based speaker verification,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Ecapa-tdnn: Emphasized channel attention, propagation and aggregation in tdnn based speaker verification,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.253228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 547890db-6148-43a1-bb24-5a7551e09fc2 · outbound

This paper cites SpeechBrain: A General-Purpose Speech Toolkit.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders SpeechBrain: A General-Purpose Speech Toolkit

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:06.135814Z

Source-reported events for the cited work

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Observation e729d878-91b3-4dd4-b71b-e68afae2f094 · outbound

This paper cites Real time speech en- hancement in the waveform domain,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders Real time speech en- hancement in the waveform domain,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.239477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9a4e8460-b046-440e-8539-0933f6079dc0 · outbound

This paper cites P.808 : Subjective evaluation of speech quality with a crowdsourcing approach,.

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders P.808 : Subjective evaluation of speech quality with a crowdsourcing approach,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:06.225129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 1fb6ef98-4b73-41a4-8a9e-c6e92ab45acf · inbound