Paper Citation Record · LEDGER

Probabilistic Permutation Invariant Training for Speech Separation

As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:1908.01768.

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

pith.paper-citation-record.v1
1908.01768 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:20:29.682290Z

measured 45 of 45 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:20:29.404068Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T15:20:29.807585Z

Reference resolution

44 of 44 outbound references displayed

verified exact2
verified fuzzy32
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1c30595-5684-40ec-a014-01b2e4bf24a7 · outbound

This paper cites Probabilistic Permutation Invariant Training for Speech Separation.

Probabilistic Permutation Invariant Training for Speech Separation Probabilistic Permutation Invariant Training for Speech Separation

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T15:20:29.813178Z

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 bfc0692d-5982-40b1-8c5d-11d9219fde1f · outbound

This paper cites an unresolved cited work.

Probabilistic Permutation Invariant Training for Speech Separation Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:20:30.576370Z

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 c8a70b1e-a63b-46f0-b140-ff95de14e690 · outbound

This paper cites an unresolved cited work.

Probabilistic Permutation Invariant Training for Speech Separation Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:20:30.559327Z

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 baf4854f-e975-49bc-8cbc-02b03060db0b · outbound

This paper cites The GRID is a multi-speaker, sentence corpus [32], which has been used in monaural speech separation and recogni- tion challenge [33].

Probabilistic Permutation Invariant Training for Speech Separation The GRID is a multi-speaker, sentence corpus [32], which has been used in monaural speech separation and recogni- tion challenge [33]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.541884Z

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 7ad0ed54-4dd7-4b5c-9a80-672a9535e412 · outbound

This paper cites A long-lasting problem in speech separation task is ﬁnding the correct label for each separated speech signal, which referred to as label permutation ambiguity.

Probabilistic Permutation Invariant Training for Speech Separation A long-lasting problem in speech separation task is ﬁnding the correct label for each separated speech signal, which referred to as label permutation ambiguity

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.525144Z

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 8445e94c-3d4d-4a9f-9319-b7a35c1ce453 · outbound

This paper cites The perception of speech under adverse conditions,.

Probabilistic Permutation Invariant Training for Speech Separation The perception of speech under adverse conditions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.507734Z

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 b8dbc153-ab9c-420f-a44d-d4695e866a58 · outbound

This paper cites an unresolved cited work.

Probabilistic Permutation Invariant Training for Speech Separation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:20:30.491135Z

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 a78bf3ce-abe4-46fb-ae59-e42e3c28b937 · outbound

This paper cites Auditory grouping, i in hearing. hand- book of perception and cognition, bcj moore,.

Probabilistic Permutation Invariant Training for Speech Separation Auditory grouping, i in hearing. hand- book of perception and cognition, bcj moore,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.472709Z

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 76745c39-867f-48d4-8424-b78a7472ae8f · outbound

This paper cites Divenyi, Speech separation by humans and machines.

Probabilistic Permutation Invariant Training for Speech Separation Divenyi, Speech separation by humans and machines

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.455517Z

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 f7e83704-b4c1-40e7-820f-7067cdde5b2d · outbound

This paper cites An algorithm to increase intelligibility for hearing-impaired lis- teners in the presence of a competing talker,.

Probabilistic Permutation Invariant Training for Speech Separation An algorithm to increase intelligibility for hearing-impaired lis- teners in the presence of a competing talker,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.437200Z

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 484a3842-426d-40f8-8d0f-2b19b935788d · outbound

This paper cites Eeg-informed attended speaker extraction from recorded speech mixtures with application in neuro-steered hearing prostheses,.

Probabilistic Permutation Invariant Training for Speech Separation Eeg-informed attended speaker extraction from recorded speech mixtures with application in neuro-steered hearing prostheses,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.418056Z

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 2d41bb52-2a1b-438f-85a1-a5377b5aa9d4 · outbound

This paper cites Deep recurrent networks for separation and recognition of single- channel speech in nonstationary background audio,.

Probabilistic Permutation Invariant Training for Speech Separation Deep recurrent networks for separation and recognition of single- channel speech in nonstationary background audio,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.395428Z

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 73f9fe41-78af-4683-84a8-17b0f23a54a2 · outbound

This paper cites Single-channel mul- titalker speech recognition,.

Probabilistic Permutation Invariant Training for Speech Separation Single-channel mul- titalker speech recognition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.376541Z

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 dbb523bd-e7da-466b-a6e5-c076b0c8ab74 · outbound

This paper cites Deep neu- ral networks for single-channel multi-talker speech recognition,.

Probabilistic Permutation Invariant Training for Speech Separation Deep neu- ral networks for single-channel multi-talker speech recognition,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.354799Z

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 9916df4f-2de8-463e-9b42-f037bd7cdc62 · outbound

This paper cites Multi-speaker conversations, cross-talk, and diarization for speaker recognition,.

Probabilistic Permutation Invariant Training for Speech Separation Multi-speaker conversations, cross-talk, and diarization for speaker recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.325342Z

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 4c3e0e54-347c-41dd-861b-933720ac4a4b · outbound

This paper cites All-neural online source separation, counting, and diarization for meeting analysis.

Probabilistic Permutation Invariant Training for Speech Separation All-neural online source separation, counting, and diarization for meeting analysis

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:20:29.787083Z

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 6e7a7b2c-301e-406e-9e2a-af0ab2340228 · outbound

This paper cites Jointly aligning and predicting continuous emotion annotations,.

Probabilistic Permutation Invariant Training for Speech Separation Jointly aligning and predicting continuous emotion annotations,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:29.506911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19021b35-a0de-40b8-b5d7-bc27d66a6860 · outbound

This paper cites Progressive Neural Networks for Transfer Learning in Emotion Recognition.

Probabilistic Permutation Invariant Training for Speech Separation Progressive Neural Networks for Transfer Learning in Emotion Recognition

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:20:29.756396Z

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 f2877708-3683-4590-8046-8800b9a86458 · outbound

This paper cites A robust text depen- dent speaker identiﬁcation using neural responses from the model of the auditory system,.

Probabilistic Permutation Invariant Training for Speech Separation A robust text depen- dent speaker identiﬁcation using neural responses from the model of the auditory system,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.281874Z

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 74ee84ae-9ed6-4953-81bb-3e9151f7a30e · outbound

This paper cites Speaker recognition by machines and humans: A tutorial review,.

Probabilistic Permutation Invariant Training for Speech Separation Speaker recognition by machines and humans: A tutorial review,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.263194Z

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 0d0bdba4-0089-4c4b-b0c9-c04072e2d893 · outbound

This paper cites Computational auditory scene analysis: Principles, algorithms, application.

Probabilistic Permutation Invariant Training for Speech Separation Computational auditory scene analysis: Principles, algorithms, application

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.244611Z

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 af1cfc9e-d248-4d63-b29b-5716bfad3978 · outbound

This paper cites Independent component analysis, a new concept?.

Probabilistic Permutation Invariant Training for Speech Separation Independent component analysis, a new concept?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:29.546769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eebc0cae-dd79-4fee-b598-95c5791cfa32 · outbound

This paper cites One microphone source separation,.

Probabilistic Permutation Invariant Training for Speech Separation One microphone source separation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.213430Z

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 933baa65-489e-4326-b000-fdfc3b4a38fa · outbound

This paper cites Convolutive speech bases and their applica- tion to supervised speech separation,.

Probabilistic Permutation Invariant Training for Speech Separation Convolutive speech bases and their applica- tion to supervised speech separation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.189169Z

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 441c7873-8c9b-4c35-9611-91deb6fdc8e0 · outbound

This paper cites Supervised speech enhancement using online group-sparse convolutive nmf,.

Probabilistic Permutation Invariant Training for Speech Separation Supervised speech enhancement using online group-sparse convolutive nmf,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.165708Z

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 1aa477a2-daa1-4f07-b5e2-79ce8bf474fb · outbound

This paper cites On training targets for supervised speech separation,.

Probabilistic Permutation Invariant Training for Speech Separation On training targets for supervised speech separation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.146640Z

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 bf028d8e-6626-45da-9d47-ae159921016e · outbound

This paper cites Joint optimization of masks and deep recurrent neural networks for monaural source separation,.

Probabilistic Permutation Invariant Training for Speech Separation Joint optimization of masks and deep recurrent neural networks for monaural source separation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.123839Z

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 d2cf1475-dbaa-4ae4-a208-7c3d0c87cc12 · outbound

This paper cites A deep ensemble learning method for monaural speech separation,.

Probabilistic Permutation Invariant Training for Speech Separation A deep ensemble learning method for monaural speech separation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.106595Z

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 9541543a-73e5-423f-ac2a-fbb8b2d1f478 · outbound

This paper cites Convolutional neu- ral network-based speech enhancement for cochlear implant re- cipients,.

Probabilistic Permutation Invariant Training for Speech Separation Convolutional neu- ral network-based speech enhancement for cochlear implant re- cipients,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.084573Z

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 8b171cdd-f62c-4b64-8d1b-ac566114e68c · outbound

This paper cites Deep clus- tering: Discriminative embeddings for segmentation and separa- tion,.

Probabilistic Permutation Invariant Training for Speech Separation Deep clus- tering: Discriminative embeddings for segmentation and separa- tion,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:29.602002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 808c30d0-e9ca-410b-ae9f-cd43e66686ee · outbound

This paper cites Single-Channel Multi-Speaker Separation using Deep Clustering.

Probabilistic Permutation Invariant Training for Speech Separation Single-Channel Multi-Speaker Separation using Deep Clustering

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:29.608107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bca57cc0-3633-4c1f-94e8-5aaf44cd867d · outbound

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

Probabilistic Permutation Invariant Training for Speech Separation Deep attractor network for single-microphone speaker separation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.045507Z

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 6ce08327-26fb-4c59-8a71-9bbf13f66393 · outbound

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

Probabilistic Permutation Invariant Training for Speech Separation Permutation invari- ant training of deep models for speaker-independent multi-talker speech separation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:30.024618Z

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 1175545c-4583-406a-858e-e6dd5238818f · outbound

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

Probabilistic Permutation Invariant Training for Speech Separation Multitalker speech separation with utterance- level permutation invariant training of deep recurrent neural net- works,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:29.997508Z

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 5fb62346-2a55-4dfd-9e58-febb1b5aabab · outbound

This paper cites Complex ratio mask- ing for monaural speech separation,.

Probabilistic Permutation Invariant Training for Speech Separation Complex ratio mask- ing for monaural speech separation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:29.978763Z

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 3ed0ef82-5a03-4873-a8e2-4211cbdaccab · outbound

This paper cites Soft-dtw: a differentiable loss func- tion for time-series,.

Probabilistic Permutation Invariant Training for Speech Separation Soft-dtw: a differentiable loss func- tion for time-series,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:29.961058Z

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 ad1a4f0c-90fa-418e-91c7-bf97376914a9 · outbound

This paper cites An audio- visual corpus for speech perception and automatic speech recog- nition,.

Probabilistic Permutation Invariant Training for Speech Separation An audio- visual corpus for speech perception and automatic speech recog- nition,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:29.642658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58c49a48-a3da-47fa-b4b6-b6d54174932c · outbound

This paper cites Monaural speech separation and recognition challenge,.

Probabilistic Permutation Invariant Training for Speech Separation Monaural speech separation and recognition challenge,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:29.648458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 452b56ea-a1e8-4b3e-9a6e-f4d53c0944f0 · outbound

This paper cites Teager–kaiser energy operators for overlapped speech detection,.

Probabilistic Permutation Invariant Training for Speech Separation Teager–kaiser energy operators for overlapped speech detection,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:29.921007Z

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 6cde6463-3bc1-4cf2-8fca-4d16d62806ac · outbound

This paper cites Assessing speaker en- gagement in 2-person debates: Overlap detection in united states presidential debates,.

Probabilistic Permutation Invariant Training for Speech Separation Assessing speaker en- gagement in 2-person debates: Overlap detection in united states presidential debates,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:29.903884Z

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 f1c8d2f2-abac-478e-8816-706a33d1df6f · outbound

This paper cites Speech separation based on signal-noise-dependent deep neural networks for robust speech recognition,.

Probabilistic Permutation Invariant Training for Speech Separation Speech separation based on signal-noise-dependent deep neural networks for robust speech recognition,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:29.887618Z

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 c14124d4-5c99-4867-b5e9-f43bd587bf3e · outbound

This paper cites Performance measure- ment in blind audio source separation,.

Probabilistic Permutation Invariant Training for Speech Separation Performance measure- ment in blind audio source separation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:29.868783Z

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 cfd946b8-0cce-43ed-be5c-df5d43944aab · outbound

This paper cites Modeling perceptual similarity of audio signals for blind source separation evaluation,.

Probabilistic Permutation Invariant Training for Speech Separation Modeling perceptual similarity of audio signals for blind source separation evaluation,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:29.849740Z

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 2c6a43c9-c5b8-4d7f-8911-128b35ff9090 · outbound

This paper cites Long short-term memory for speaker gen- eralization in supervised speech separation,.

Probabilistic Permutation Invariant Training for Speech Separation Long short-term memory for speaker gen- eralization in supervised speech separation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:29.831508Z

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

Observation d1c30595-5684-40ec-a014-01b2e4bf24a7 · inbound