Paper Citation Record · LEDGER

Speech Separation using Neural Audio Codecs with Embedding Loss

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2411.17998.

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

pith.paper-citation-record.v1
2411.17998 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:41:45.504981Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:48:34.841419Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T16:46:37.685528Z

Reference resolution

30 of 30 outbound references displayed

verified exact1
verified fuzzy19
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69f94909-8948-4cc1-9db6-b80182fe6a11 · outbound

This paper cites Some experiments on the recognition of speech, with one and with two ears,.

Speech Separation using Neural Audio Codecs with Embedding Loss Some experiments on the recognition of speech, with one and with two ears,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T11:41:45.333593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e92cd3e9-9beb-480c-bd97-e27a7b691490 · outbound

This paper cites Atten- tion is all you need in speech separation,.

Speech Separation using Neural Audio Codecs with Embedding Loss Atten- tion is all you need in speech separation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:46.067206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ca44b4b5-c246-46a6-90e4-01c890318825 · outbound

This paper cites Spgm: Prioritizing local features for enhanced speech separation performance,.

Speech Separation using Neural Audio Codecs with Embedding Loss Spgm: Prioritizing local features for enhanced speech separation performance,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:46.049025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d76f519d-8cbc-4d7c-ba3b-07822213962d · outbound

This paper cites Mossformer2: Combining transformer and rnn-free recurrent network for enhanced time-domain monaural speech separation,.

Speech Separation using Neural Audio Codecs with Embedding Loss Mossformer2: Combining transformer and rnn-free recurrent network for enhanced time-domain monaural speech separation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:46.031180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 599e8f6b-a545-44de-845a-4bcaeb6c6ede · outbound

This paper cites Gass: Generalizing audio source separation with large-scale data,.

Speech Separation using Neural Audio Codecs with Embedding Loss Gass: Generalizing audio source separation with large-scale data,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:46.011198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2be18dab-e38d-47ce-bec7-d7f590469310 · outbound

This paper cites Exploring self-attention mechanisms for speech separation,.

Speech Separation using Neural Audio Codecs with Embedding Loss Exploring self-attention mechanisms for speech separation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:45.993979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0a861b9-44e3-463f-b060-bfd07c4d0cb3 · outbound

This paper cites TF- GridNet: Integrating full- and sub-band modeling for speech separation,.

Speech Separation using Neural Audio Codecs with Embedding Loss TF- GridNet: Integrating full- and sub-band modeling for speech separation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:45.974904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fccdc939-376c-4d7b-94e1-9c641505d6a9 · outbound

This paper cites A neural state-space model approach to efficient speech separation,.

Speech Separation using Neural Audio Codecs with Embedding Loss A neural state-space model approach to efficient speech separation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:45.956269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation df33a327-e700-4751-b367-6dd6c643002a · outbound

This paper cites Permutation invariant training of deep models for speaker-independent multi-talker speech separation,.

Speech Separation using Neural Audio Codecs with Embedding Loss Permutation invariant training of deep models for speaker-independent multi-talker speech separation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:45.939179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e8243670-d1ec-49ac-9c85-5f5b5b4e546f · outbound

This paper cites Sdr–half-baked or well done?.

Speech Separation using Neural Audio Codecs with Embedding Loss Sdr–half-baked or well done?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T11:41:45.386290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d59cce01-1d76-4aa2-8e8a-43250db14d6b · outbound

This paper cites Soundstream: An end-to-end neural audio codec,.

Speech Separation using Neural Audio Codecs with Embedding Loss Soundstream: An end-to-end neural audio codec,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T11:41:45.391032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 117c8613-a45b-4ed7-b081-799e295d7930 · outbound

This paper cites High Fidelity Neural Audio Compression.

Speech Separation using Neural Audio Codecs with Embedding Loss High Fidelity Neural Audio Compression

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T11:41:45.395769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06f22c58-3e30-4455-ba24-096d212cf527 · outbound

This paper cites High- fidelity audio compression with improved rvqgan,.

Speech Separation using Neural Audio Codecs with Embedding Loss High- fidelity audio compression with improved rvqgan,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T11:41:45.401593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b162e68-e8e0-4646-a278-0daec62c0e03 · outbound

This paper cites Vector quantization,.

Speech Separation using Neural Audio Codecs with Embedding Loss Vector quantization,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:45.885444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a76d6cc-4751-466a-8922-2d176bc48e85 · outbound

This paper cites VioLA: Unified Codec Language Models for Speech Recognition, Synthesis, and Translation.

Speech Separation using Neural Audio Codecs with Embedding Loss VioLA: Unified Codec Language Models for Speech Recognition, Synthesis, and Translation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T11:41:45.414147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10a6b267-3f43-42bb-ac11-4d53c1e4dbd9 · outbound

This paper cites Exploring the limits of decoder-only models trained on public speech recognition corpora.

Speech Separation using Neural Audio Codecs with Embedding Loss Exploring the limits of decoder-only models trained on public speech recognition corpora

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T11:41:45.420271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 826a5a72-243c-4839-8519-bb264089a574 · outbound

This paper cites Naturalspeech 3: Zero-shot speech synthesis with factorized codec and diffusion models,.

Speech Separation using Neural Audio Codecs with Embedding Loss Naturalspeech 3: Zero-shot speech synthesis with factorized codec and diffusion models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:45.865570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e0a27129-931a-4f22-92d5-d9946d014e29 · outbound

This paper cites SimpleSpeech: Towards Simple and Efficient Text-to-Speech with Scalar Latent Transformer Diffusion Models.

Speech Separation using Neural Audio Codecs with Embedding Loss SimpleSpeech: Towards Simple and Efficient Text-to-Speech with Scalar Latent Transformer Diffusion Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T11:41:45.432669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95d00d77-5065-4bec-bf4f-dfb640e74074 · outbound

This paper cites Discrete audio representation as an alternative to mel-spectrograms for speaker and speech recognition,.

Speech Separation using Neural Audio Codecs with Embedding Loss Discrete audio representation as an alternative to mel-spectrograms for speaker and speech recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:45.843407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d14e5e27-71bf-4831-982e-9937e0dfdf04 · outbound

This paper cites The Interspeech 2024 challenge on speech processing using discrete units,.

Speech Separation using Neural Audio Codecs with Embedding Loss The Interspeech 2024 challenge on speech processing using discrete units,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:45.825518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation adcd272e-f277-4ebe-b3df-d0d60ae0a7c5 · outbound

This paper cites Towards audio codec-based speech separation,.

Speech Separation using Neural Audio Codecs with Embedding Loss Towards audio codec-based speech separation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:45.806074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5070b1e8-2b4a-497e-9a18-6239815fd0cf · outbound

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

Speech Separation using Neural Audio Codecs with Embedding Loss Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:45.785316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 70b8d970-c0fd-4784-8c9c-dcfc20c0ee0c · outbound

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

Speech Separation using Neural Audio Codecs with Embedding Loss An algorithm for intelligibility prediction of time–frequency weighted noisy speech,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:45.764170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d74a01bc-ed42-4287-9de5-ccc68e404b89 · outbound

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

Speech Separation using Neural Audio Codecs with Embedding Loss DNSMOS: A non-intrusive perceptual objective speech quality metric to evaluate noise suppressors,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:45.745444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 89913a5f-146c-4aaf-b01e-3bf6813c3194 · outbound

This paper cites LibriTTS: A corpus derived from librispeech for text-to-speech,.

Speech Separation using Neural Audio Codecs with Embedding Loss LibriTTS: A corpus derived from librispeech for text-to-speech,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:45.726927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bd200c3c-2545-495b-b079-7407a23aee08 · outbound

This paper cites Espnet-codec: Comprehensive training and evaluation of neural codecs for audio, music, and speech,.

Speech Separation using Neural Audio Codecs with Embedding Loss Espnet-codec: Comprehensive training and evaluation of neural codecs for audio, music, and speech,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:45.707945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8caa13cc-51dd-47b6-97e3-a59543962839 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Speech Separation using Neural Audio Codecs with Embedding Loss Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T11:41:45.487621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5da3910-e288-4e96-8884-8e5f96a2d5f6 · outbound

This paper cites Deep clustering: Discriminative embeddings for segmentation and separation,.

Speech Separation using Neural Audio Codecs with Embedding Loss Deep clustering: Discriminative embeddings for segmentation and separation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:41:45.689821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6493b892-ae27-4d6d-9a59-3702ec38a7fe · outbound

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

Speech Separation using Neural Audio Codecs with Embedding Loss SpeechBrain: A General-Purpose Speech Toolkit

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T11:41:45.499310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db757385-ea69-4f37-8717-c8a68321252c · outbound

This paper cites Discretization and Re-synthesis: an alternative method to solve the Cocktail Party Problem.

Speech Separation using Neural Audio Codecs with Embedding Loss Discretization and Re-synthesis: an alternative method to solve the Cocktail Party Problem

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:41:45.557966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 7f0dc690-f759-4476-99b6-7b7e3466b511 · inbound

CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents cites this paper.

CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents Speech Separation using Neural Audio Codecs with Embedding Loss

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:46:37.688387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22b9aa25-409d-4d79-9cf0-d4d9f6c09442 · inbound

CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents cites this paper.

CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents Speech Separation using Neural Audio Codecs with Embedding Loss

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T16:48:34.841419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.