Paper Citation Record · LEDGER

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning

As of 17 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:1908.04737.

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

pith.paper-citation-record.v1
1908.04737 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:38:44.464676Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:38:43.983210Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T13:38:44.647594Z

Reference resolution

45 of 45 outbound references displayed

verified exact2
verified fuzzy31
unresolved10
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 651a7a66-fbd6-481f-9e72-b12532fa685c · outbound

This paper cites Overlapped speech – well known in a more general context as the cocktail party problem – remains, however, to be a largely unsolved problem.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Overlapped speech – well known in a more general context as the cocktail party problem – remains, however, to be a largely unsolved problem

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:46.256787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1679087c-a2fe-45f6-899e-da05fe52473a · outbound

This paper cites End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T13:38:44.652679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eb5e50e7-9421-40c9-ae83-1019dba0aa1b · outbound

This paper cites Datasets We evaluate our models on the widely used mixed speech datasets wsj0-2mix and wsj0-3mix [9, 10].

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Datasets We evaluate our models on the widely used mixed speech datasets wsj0-2mix and wsj0-3mix [9, 10]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:46.162959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c3b48b80-dcf2-4563-bc6d-ed4d7d4e1351 · outbound

This paper cites Speaker embeddings inclusion strategies The ﬁrst set of experiments aims to determine the best strat- egy for inclusion of speaker embeddings in the model’s in- put.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Speaker embeddings inclusion strategies The ﬁrst set of experiments aims to determine the best strat- egy for inclusion of speaker embeddings in the model’s in- put

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-14T13:38:46.098133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ce66aa74-d728-418d-80f4-049bc957192a · outbound

This paper cites an unresolved cited work.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:46.008014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3fa5607e-9c79-466f-acb3-474e4d332e38 · outbound

This paper cites Single-channel speech sepa- ration using sparse non-negative matrix factorization,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Single-channel speech sepa- ration using sparse non-negative matrix factorization,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.757461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1d7798b8-b707-41d0-b106-b4bb392411ff · outbound

This paper cites Similarly to speech recognition, speech separation methods have also made major progress with the help of deep learning.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Similarly to speech recognition, speech separation methods have also made major progress with the help of deep learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:46.243718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 80b02dcd-5bfe-4388-800c-ba63f749f3ff · outbound

This paper cites Learning spectral clustering, with application to speech separation,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Learning spectral clustering, with application to speech separation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T13:38:44.144009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90517952-21c9-4dda-89e1-2432d8ff8d9b · outbound

This paper cites Deep Neural Networks for Acoustic Modeling in Speech Recognition,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Deep Neural Networks for Acoustic Modeling in Speech Recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.956377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 50045803-b5ae-4dfc-b450-03dd4ea5bcd4 · outbound

This paper cites Context-Dependent Pre-trained Deep Neural Networks for Large V ocabulary Speech Recognition,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Context-Dependent Pre-trained Deep Neural Networks for Large V ocabulary Speech Recognition,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.942351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32128274-1284-4060-bd96-ba02c6d14182 · outbound

This paper cites The Microsoft 2016 Conversational Speech Recognition System,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning The Microsoft 2016 Conversational Speech Recognition System,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.926674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 14693f19-1e94-4cbf-ac15-eb8d6047ba35 · outbound

This paper cites We evaluate our proposed framework on overlapped speech datasets with two and three overlapped speakers, within and across set- tings.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning We evaluate our proposed framework on overlapped speech datasets with two and three overlapped speakers, within and across set- tings

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:46.178694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2cfcf485-9698-4ef0-bb1a-83ddd39297de · outbound

This paper cites Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.822765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 02cf7ebe-f578-4965-bddf-7b003df9831d · outbound

This paper cites Wang and G.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Wang and G

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T13:38:44.131178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 343adcf4-5d1d-4057-bde8-52943c1d8180 · outbound

This paper cites Super-human multi-talker speech recognition: A graphical mod- eling approach,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Super-human multi-talker speech recognition: A graphical mod- eling approach,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.723549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 76f58950-e03b-4a51-93e3-d9256fa023d7 · outbound

This paper cites Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T13:38:44.243730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9291abe4-8011-4a7f-90f0-7bb8606d21b2 · outbound

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

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Deep clus- tering: Discriminative embeddings for segmentation and separa- tion,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.630215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 48258b02-6caa-4026-8f76-1cd99ad347d6 · outbound

This paper cites Single-Channel Multi-Speaker Separation Using Deep Cluster- ing,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Single-Channel Multi-Speaker Separation Using Deep Cluster- ing,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.613430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3e709503-00f4-4fb0-9cae-dad1cbb09baf · outbound

This paper cites Alternative Objective Functions for Deep Clustering,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Alternative Objective Functions for Deep Clustering,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.547771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 45f9cf6b-e8a3-4aa0-9f84-112abc83ea01 · outbound

This paper cites VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T13:38:44.171139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddd76945-b2a4-4759-84cb-d106895b4453 · outbound

This paper cites Deep Speech: Scaling up end-to-end speech recognition.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Deep Speech: Scaling up end-to-end speech recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T13:38:44.200937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5289f2c-c191-4c08-90fd-3884db4a0288 · outbound

This paper cites EESEN: End-to-end speech recognition using deep RNN models and WFST-based decoding,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning EESEN: End-to-end speech recognition using deep RNN models and WFST-based decoding,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.531701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f2eb5c52-38b1-4e8f-a77d-244942965096 · outbound

This paper cites End-to-end attention-based large vocabulary speech recog- nition,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning End-to-end attention-based large vocabulary speech recog- nition,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T13:38:44.239254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d55b2c1-1420-40b0-b4cd-1aec4d8a367f · outbound

This paper cites Transfer learning from speaker veriﬁcation to multispeaker text-to-speech synthesis,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Transfer learning from speaker veriﬁcation to multispeaker text-to-speech synthesis,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T13:38:44.278173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f08052f1-9b32-4763-90af-b65645c2e978 · outbound

This paper cites Hybrid CTC/attention architecture for end-to-end speech recog- nition,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Hybrid CTC/attention architecture for end-to-end speech recog- nition,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T13:38:44.247685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aff3f211-a2ca-4d01-b38e-4a522225d479 · outbound

This paper cites End-to-end multi-speaker speech recognition,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning End-to-end multi-speaker speech recognition,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.433805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51ee53ba-e313-4c8a-8171-0bd8a61dfbbf · outbound

This paper cites A Purely End-to-End System for Multi-speaker Speech Recog- nition,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning A Purely End-to-End System for Multi-speaker Speech Recog- nition,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.374155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32da70e1-b1b3-47f0-ba1d-4a034ef7e7c4 · outbound

This paper cites Progressive joint mod- eling in unsupervised single-channel overlapped speech recogni- tion,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Progressive joint mod- eling in unsupervised single-channel overlapped speech recogni- tion,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.285680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 85ad0927-995c-4d25-bc29-cdba43df20e1 · outbound

This paper cites Speaker-Aware Neural Network Based Beam- former for Speaker Extraction in Speech Mixtures,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Speaker-Aware Neural Network Based Beam- former for Speaker Extraction in Speech Mixtures,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.227035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4a422157-4728-4c9a-b4cc-3d7ecd6c267c · outbound

This paper cites Deep Extractor Network for Target Speaker Recovery from Sin- gle Channel Speech Mixtures,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Deep Extractor Network for Target Speaker Recovery from Sin- gle Channel Speech Mixtures,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.172901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef0aa0f8-d6d3-458d-b841-7b7f035c8ad7 · outbound

This paper cites Speaker diarization with LSTM,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Speaker diarization with LSTM,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.110169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 17d809fd-63a3-4a3d-81a1-231379a0e2e3 · outbound

This paper cites VoxCeleb: A Large- Scale Speaker Identiﬁcation Dataset,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning VoxCeleb: A Large- Scale Speaker Identiﬁcation Dataset,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:44.818701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d59d8051-2bae-443b-bdba-b7a353cdfe5a · outbound

This paper cites Multilingual acoustic models using dis- tributed deep neural networks,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Multilingual acoustic models using dis- tributed deep neural networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.040173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 667993ef-e747-441b-a793-78a5a8f6be98 · outbound

This paper cites The input features of x-vector extractor are 30-dimensional MFCCs without cepstral truncation with a frame length of 25 ms and shift of 10 ms.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning The input features of x-vector extractor are 30-dimensional MFCCs without cepstral truncation with a frame length of 25 ms and shift of 10 ms

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:46.144120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 43a8af3a-23de-49a6-972e-5ef8595165f3 · outbound

This paper cites Investigation of transfer learning for ASR using LF-MMI trained neural networks,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Investigation of transfer learning for ASR using LF-MMI trained neural networks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:45.026396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 89d25c21-6373-4c68-bf68-cc5bee4a5c46 · outbound

This paper cites Lib- rispeech: an ASR corpus based on public domain audio books,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Lib- rispeech: an ASR corpus based on public domain audio books,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:44.926033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 589ec6d4-28d2-47a6-a474-f06a72dd5d66 · outbound

This paper cites ESP- net: End-to-End Speech Processing Toolkit,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning ESP- net: End-to-End Speech Processing Toolkit,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:44.874794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dda78843-61c7-4ccc-912f-d631e6d2a375 · outbound

This paper cites The Kaldi speech recognition toolkit,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning The Kaldi speech recognition toolkit,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:44.864517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 866d7ca0-0a36-4bb8-b333-808f1f91cec1 · outbound

This paper cites ADADELTA: An Adaptive Learning Rate Method.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning ADADELTA: An Adaptive Learning Rate Method

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-14T13:38:44.402934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eebc545-9de0-4bcf-ad0f-c7f33c2f7108 · outbound

This paper cites End-to-end Speech Recognition with Word-based RNN Language Models.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning End-to-end Speech Recognition with Word-based RNN Language Models

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:38:44.584400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 55fecded-c0c2-407f-a1b9-08a4ebf75a24 · outbound

This paper cites VoxCeleb2: Deep Speaker Recognition,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning VoxCeleb2: Deep Speaker Recognition,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:44.731660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 17b0b9ba-0761-475d-a354-e0d94cd488ab · outbound

This paper cites X-vectors: Robust DNN embeddings for speaker recogni- tion,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning X-vectors: Robust DNN embeddings for speaker recogni- tion,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:44.718804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29c5e611-c86a-4eae-be53-ae1808fa4eb0 · outbound

This paper cites The Speak- ers in the Wild (SITW) Speaker Recognition Database,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning The Speak- ers in the Wild (SITW) Speaker Recognition Database,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:44.676529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 78a550f5-856e-40f6-9652-85e183c6b9e8 · outbound

This paper cites Single-channel multi-talker speech recognition with permutation invariant training,.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning Single-channel multi-talker speech recognition with permutation invariant training,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:44.665588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 76f8073d-ad2f-45ae-aac8-28317a70026e · outbound

This paper cites End-to-End Monaural Multi-speaker ASR System without Pretraining.

End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning End-to-End Monaural Multi-speaker ASR System without Pretraining

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:38:44.564274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 1679087c-a2fe-45f6-899e-da05fe52473a · inbound