Paper Citation Record · LEDGER

Multi-Utterance Speech Separation and Association Trained on Short Segments

As of 10 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2507.02562.

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

pith.paper-citation-record.v1
2507.02562 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:34:19.183431Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

35 of 35 outbound references displayed

verified exact1
verified fuzzy34
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f6d732c-4d15-4586-80b6-c0e1f71bd2cd · outbound

This paper cites Vincent, T.

Multi-Utterance Speech Separation and Association Trained on Short Segments Vincent, T

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:24.740725Z

Source-reported events for the cited work

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

Observation 0b7c1c96-aa54-4704-a02f-ac3643fe9c22 · outbound

This paper cites Deep learning for audio signal processing,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Deep learning for audio signal processing,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:24.476684Z

Source-reported events for the cited work

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

Observation fdb5f126-8357-437b-ba98-b8e00b0b8027 · outbound

This paper cites An overview of machine learning and other data-based methods for spatial audio capture, processing, and reproduction,.

Multi-Utterance Speech Separation and Association Trained on Short Segments An overview of machine learning and other data-based methods for spatial audio capture, processing, and reproduction,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:24.250544Z

Source-reported events for the cited work

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

Observation b20059bf-e282-4a17-a428-aaed197d59ee · outbound

This paper cites Supervised speech separation based on deep learning: An overview,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Supervised speech separation based on deep learning: An overview,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:23.965425Z

Source-reported events for the cited work

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

Observation fb5c6f1e-772f-40d8-b637-3c9dd4cb6602 · outbound

This paper cites Conv-tasnet: Surpassing ideal time–frequency magnitude masking for speech separation,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Conv-tasnet: Surpassing ideal time–frequency magnitude masking for speech separation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:23.694612Z

Source-reported events for the cited work

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

Observation d569034c-dc7b-47ab-ab60-bf080cd24e49 · outbound

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

Multi-Utterance Speech Separation and Association Trained on Short Segments Permutation invariant training of deep models for speaker-independent multi-talker speech separation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:23.419272Z

Source-reported events for the cited work

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

Observation f666c196-2277-4d17-ab48-95e6bcf58fc5 · outbound

This paper cites Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:23.232124Z

Source-reported events for the cited work

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

Observation 00f29c17-9a1d-4b9d-ae51-63337b8e30c9 · outbound

This paper cites TF-GridNet: Making time-frequency domain models great again for monaural speaker separation,.

Multi-Utterance Speech Separation and Association Trained on Short Segments TF-GridNet: Making time-frequency domain models great again for monaural speaker separation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:23.038293Z

Source-reported events for the cited work

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

Observation e66a0aa0-095b-4684-a331-a830d6da0dfe · outbound

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

Multi-Utterance Speech Separation and Association Trained on Short Segments TF-GridNet: Integrating full- and sub-band modeling for speech separation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:22.902162Z

Source-reported events for the cited work

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

Observation ce37baa0-211e-4ed5-8c75-62e1765b99a3 · outbound

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

Multi-Utterance Speech Separation and Association Trained on Short Segments Deep Clustering: Discriminative embeddings for segmentation and separation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:22.764820Z

Source-reported events for the cited work

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

Observation 451cbdec-a1fb-4f5b-aad3-0abfd9d5f366 · outbound

This paper cites Low-latency deep clustering for speech separation,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Low-latency deep clustering for speech separation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:22.580472Z

Source-reported events for the cited work

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

Observation 7338dabe-3aba-446f-b1e7-4866b44fb917 · outbound

This paper cites Wavesplit: End-to-end speech separation by speaker clustering,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Wavesplit: End-to-end speech separation by speaker clustering,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:22.348474Z

Source-reported events for the cited work

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

Observation 7c441472-6f2c-4910-aea8-1da392cf83da · outbound

This paper cites Continuous speech separation: Dataset and analysis,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Continuous speech separation: Dataset and analysis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:22.214251Z

Source-reported events for the cited work

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

Observation 54569f0a-8897-4a8a-9d63-e6b7abebb338 · outbound

This paper cites Dual-path modeling for long recording speech separation in meetings,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Dual-path modeling for long recording speech separation in meetings,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:22.107467Z

Source-reported events for the cited work

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

Observation 5cd83927-bba7-47f2-b959-4c76603a7d7d · outbound

This paper cites Continuous speech sep- aration using speaker inventory for long recording.

Multi-Utterance Speech Separation and Association Trained on Short Segments Continuous speech sep- aration using speaker inventory for long recording

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:21.988176Z

Source-reported events for the cited work

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

Observation a5be56f7-f207-42f0-a3c2-8d7b0287244d · outbound

This paper cites Dual-path rnn for long recording speech separation,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Dual-path rnn for long recording speech separation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:21.889819Z

Source-reported events for the cited work

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

Observation 8b038d2e-da94-447a-b36e-3dd74eea51b8 · outbound

This paper cites Dual-Path RNN: Efficient long sequence modeling for time-domain single-channel speech separation,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Dual-Path RNN: Efficient long sequence modeling for time-domain single-channel speech separation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:21.761512Z

Source-reported events for the cited work

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

Observation 8d90e3c2-f708-49e1-b325-3c596a17a1ad · outbound

This paper cites Segment-less continuous speech separation of meetings: Training and evaluation criteria,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Segment-less continuous speech separation of meetings: Training and evaluation criteria,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:21.647617Z

Source-reported events for the cited work

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

Observation 623650c6-f496-442a-a3a1-616d560f5ab7 · outbound

This paper cites PLDA for speaker verification with utterances of arbitrary duration,.

Multi-Utterance Speech Separation and Association Trained on Short Segments PLDA for speaker verification with utterances of arbitrary duration,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:21.541562Z

Source-reported events for the cited work

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

Observation ee9ee843-3ff8-42b7-bcbf-f30997d242bd · outbound

This paper cites X- vectors: Robust dnn embeddings for speaker recognition,.

Multi-Utterance Speech Separation and Association Trained on Short Segments X- vectors: Robust dnn embeddings for speaker recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:21.396438Z

Source-reported events for the cited work

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

Observation 7069435a-65d3-4d91-90fb-f740ceb75ee8 · outbound

This paper cites Speaker recognition for multi-speaker conversations using x-vectors,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Speaker recognition for multi-speaker conversations using x-vectors,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:21.300074Z

Source-reported events for the cited work

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

Observation 977e9f2d-c1eb-414c-bbe1-5b10c16ab724 · outbound

This paper cites Deep attractor network for single- microphone speaker separation,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Deep attractor network for single- microphone speaker separation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:21.226423Z

Source-reported events for the cited work

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

Observation ecbfc3db-7d0b-47f9-8ab8-d89d2e429f27 · outbound

This paper cites Speaker-independent speech separation with deep attractor network,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Speaker-independent speech separation with deep attractor network,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:21.124785Z

Source-reported events for the cited work

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

Observation 32be884b-6432-4ede-98f5-bdd9aed30d97 · outbound

This paper cites Speech separation for an unknown number of speakers using transformers with encoder-decoder attractors,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Speech separation for an unknown number of speakers using transformers with encoder-decoder attractors,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:21.031541Z

Source-reported events for the cited work

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

Observation cb299b78-a24a-47e7-b132-4f5ecbf2d9f5 · outbound

This paper cites Boosting unknown-number speaker separation with transformer decoder-based attractor,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Boosting unknown-number speaker separation with transformer decoder-based attractor,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:20.878145Z

Source-reported events for the cited work

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

Observation d033676c-bc22-4840-8d9d-e9b7d4b82078 · outbound

This paper cites Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers.

Multi-Utterance Speech Separation and Association Trained on Short Segments Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:34:19.369203Z

Source-reported events for the cited work

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

Observation 49d8a6b4-7547-4a33-b898-6c44cb60ebe8 · outbound

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

Multi-Utterance Speech Separation and Association Trained on Short Segments SDR – half- baked or well done?

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:20.740694Z

Source-reported events for the cited work

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

Observation 682b03f1-8f37-414a-a14e-a9cb909e786e · outbound

This paper cites LibriSpeech: an ASR corpus based on public domain audio books,.

Multi-Utterance Speech Separation and Association Trained on Short Segments LibriSpeech: an ASR corpus based on public domain audio books,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:20.600299Z

Source-reported events for the cited work

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

Observation f96e3fad-374d-4b8f-a131-3af94949661b · outbound

This paper cites The diverse environments multi- channel acoustic noise database (DEMAND): A database of multichannel environmental noise recordings,.

Multi-Utterance Speech Separation and Association Trained on Short Segments The diverse environments multi- channel acoustic noise database (DEMAND): A database of multichannel environmental noise recordings,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:20.418612Z

Source-reported events for the cited work

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

Observation 60373583-bd0c-4ce0-b3ed-2f2a8ef36e57 · outbound

This paper cites gpuRIR: A python library for room impulse response simulation with gpu acceleration,.

Multi-Utterance Speech Separation and Association Trained on Short Segments gpuRIR: A python library for room impulse response simulation with gpu acceleration,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:20.290917Z

Source-reported events for the cited work

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

Observation 47d7f29b-46d2-4ef0-8f71-37a032ce5269 · outbound

This paper cites ESPnet: End-to-end speech processing toolkit,.

Multi-Utterance Speech Separation and Association Trained on Short Segments ESPnet: End-to-end speech processing toolkit,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:20.189643Z

Source-reported events for the cited work

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

Observation 01ac8d89-0cee-4856-a343-0338dc858ee5 · outbound

This paper cites Pyannote. metrics: A toolkit for reproducible evaluation, diagnostic, and error analysis of speaker diarization systems,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Pyannote. metrics: A toolkit for reproducible evaluation, diagnostic, and error analysis of speaker diarization systems,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:19.966714Z

Source-reported events for the cited work

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

Observation 1cfe8a5b-ddf7-4843-9e78-fc9df44546fc · outbound

This paper cites Dual-path transformer network: Direct context-aware modeling for end-to-end monaural speech separation,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Dual-path transformer network: Direct context-aware modeling for end-to-end monaural speech separation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:19.808007Z

Source-reported events for the cited work

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

Observation 105304f0-c41f-4672-a145-23e1613161ef · outbound

This paper cites Attention is all you need in speech separation,.

Multi-Utterance Speech Separation and Association Trained on Short Segments Attention is all you need in speech separation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:19.624654Z

Source-reported events for the cited work

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

Observation be78cd39-dc2e-4556-8eeb-e1159868bee2 · outbound

This paper cites SA-SDR: A novel loss function for separation of meeting style data,.

Multi-Utterance Speech Separation and Association Trained on Short Segments SA-SDR: A novel loss function for separation of meeting style data,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:19.503073Z

Source-reported events for the cited work

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

Pith citing papers

No inbound Pith citation observations are available.