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Paper Citation Record · LEDGER

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models

As of 17 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:1906.11521.

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

pith.paper-citation-record.v1
1906.11521 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T15:06:56.652596Z

measured 48 of 48 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 2026-08-06T15:33:38.783168Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:33:41.619471Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact1
  • verified fuzzy42
  • unresolved2
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91b3a1e3-5c79-4ad4-8869-f8875aba4dff · outbound

This paper cites In feature-space adaptation , trans- formations of acoustic features are estimated to maximise t he log-likelihood of the adaptation data [1, 2].

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models In feature-space adaptation , trans- formations of acoustic features are estimated to maximise t he log-likelihood of the adaptation data [1, 2]

Reference 1

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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.

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Observation 091637ce-db82-4261-82e2-f49032198ce0 · outbound

This paper cites an unresolved cited work.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Unresolved cited work

Reference 2

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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.

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Observation 1c80a604-cb8e-4f71-a48c-aacfffb1a8d9 · outbound

This paper cites surprise language.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models surprise language

Reference 3

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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.

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Observation 9e1b14c0-71d4-4fbf-a7fc-fd8c3e75973a · outbound

This paper cites an unresolved cited work.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Unresolved cited work

Reference 4

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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.

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Observation b1e30633-3cd4-41cf-92a8-c224882b4823 · outbound

This paper cites an unresolved cited work.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Unresolved cited work

Reference 5

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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.

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Observation 735238d3-6093-443d-a33d-c68cbdf1189a · outbound

This paper cites Maximum likelihood l in- ear regression for speaker adaptation of continuous density hidden markov models.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Maximum likelihood l in- ear regression for speaker adaptation of continuous density hidden markov models

Reference 6

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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.

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Observation e9b4d8cc-80c3-4d3e-8b28-ec8688e37af3 · outbound

This paper cites Maximum likelihood linear transformations f or HMM-based speech recognition.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Maximum likelihood linear transformations f or HMM-based speech recognition

Reference 7

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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.

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Observation 131a1e17-37e0-4ea5-8bed-2845351365b1 · outbound

This paper cites Learning hidden u nit contri- butions for unsupervised acoustic model adaptation.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Learning hidden u nit contri- butions for unsupervised acoustic model adaptation

Reference 8

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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.

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Observation 4f8a960c-e3f8-4863-a051-088116f72d2e · outbound

This paper cites Singular val ue de- composition based low-footprint speaker adaptation and pe rson- alization for deep neural network.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Singular val ue de- composition based low-footprint speaker adaptation and pe rson- alization for deep neural network

Reference 9

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verified fuzzy
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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.

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Observation 4dcd03e6-a29d-4ce3-b25b-0642510ee9fb · outbound

This paper cites Speaker adaptation of context dependent deep n eural networks.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Speaker adaptation of context dependent deep n eural networks

Reference 10

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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.

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Observation 243919f0-4b97-4a73-b561-25fce5595714 · outbound

This paper cites KL-divergence re gu- larized deep neural network adaptation for improved large v ocab- ulary speech recognition.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models KL-divergence re gu- larized deep neural network adaptation for improved large v ocab- ulary speech recognition

Reference 11

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verified fuzzy
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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.

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Observation 5d53cc5b-72f1-4e1f-bea8-663fdf8d95f4 · outbound

This paper cites Front-end factor analysis for speaker verification.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Front-end factor analysis for speaker verification

Reference 12

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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.

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Observation 2f95e4ce-63ef-4260-b12b-9f525e7f9309 · outbound

This paper cites Speaker adaptation of neural network acoustic models using i-vecto rs.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Speaker adaptation of neural network acoustic models using i-vecto rs

Reference 13

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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.

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Observation 40d2cf38-3efc-4030-a2e8-e210a5b69568 · outbound

This paper cites Fast speaker adaptation of hybrid NN/HMM model for speech recognition based on discriminativ e learning of speaker code.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Fast speaker adaptation of hybrid NN/HMM model for speech recognition based on discriminativ e learning of speaker code

Reference 14

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verified fuzzy
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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.

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Observation e1f62b59-d787-4cda-a6b6-1498175fb20e · outbound

This paper cites On combining i-vectors and dis- criminative adaptation methods for unsupervised speaker n ormal- ization in DNN acoustic models.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models On combining i-vectors and dis- criminative adaptation methods for unsupervised speaker n ormal- ization in DNN acoustic models

Reference 15

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verified fuzzy
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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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:c2de710da1a29faf4a3f8372e55474d3cd77dae97df25685dca35a60f281099e

Observation 1332c976-4c31-4747-a56a-16660c2b7a8c · outbound

This paper cites Speaker adaptation for continuous den sity HMMs: A review.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Speaker adaptation for continuous den sity HMMs: A review

Reference 16

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verified fuzzy
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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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:0c5139e6e2295a353e72385a238ad5f9ba54bd46903cca36d14eca8e4cd8a978

Observation 9e3c8665-13a6-4a0a-a35a-924642d7b782 · outbound

This paper cites Discri minative training of acoustic models applied to domains with unrelia ble transcripts [speech recognition applications].

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Discri minative training of acoustic models applied to domains with unrelia ble transcripts [speech recognition applications]

Reference 17

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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.

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Observation 0af4840d-8731-409f-a2a0-061517dc89c0 · outbound

This paper cites Investiga ting data selection for minimum phone error training of acoustic mode ls.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Investiga ting data selection for minimum phone error training of acoustic mode ls

Reference 18

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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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:ded33d92b69c683e5bba94cdec560292e664726d078aadd570d161cd5dedaf13

Observation e9b6ee00-d91b-4f91-8e39-cefee050bce3 · outbound

This paper cites Semi-Supervised Model Training for Unbounded Conversational Speech Recognition.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Semi-Supervised Model Training for Unbounded Conversational Speech Recognition

Reference 19

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verified exact
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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.

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Observation 928344f0-7230-44e1-96d4-6aef5fc68031 · outbound

This paper cites Semi-supervised DNN training with word selection for ASR.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Semi-supervised DNN training with word selection for ASR

Reference 20

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verified fuzzy
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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.

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Observation 04a7ca47-a713-4ec4-9a3c-b2acfbf23f3a · outbound

This paper cites Dnn adaptation by automatic quality estimation of asr hypotheses.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Dnn adaptation by automatic quality estimation of asr hypotheses

Reference 21

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verified fuzzy
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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.

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Observation aa15a6a4-5935-4190-98d2-cff2c227548e · outbound

This paper cites Learning hidden unit co ntri- butions for unsupervised speaker adaptation of neural netw ork acoustic models.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Learning hidden unit co ntri- butions for unsupervised speaker adaptation of neural netw ork acoustic models

Reference 22

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verified fuzzy
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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.

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Observation ad8695fd-1cdb-4c21-bd63-3378f4a3ab5b · outbound

This paper cites Subspace lhuc for fast adap ta- tion of deep neural network acoustic models.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Subspace lhuc for fast adap ta- tion of deep neural network acoustic models

Reference 23

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verified fuzzy
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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.

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Observation e4a770bb-3c26-4f6f-a5e5-711da8b7e72f · outbound

This paper cites Extended low-rank plus diagonal adaptation for deep and recurrent neural networks.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Extended low-rank plus diagonal adaptation for deep and recurrent neural networks

Reference 24

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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.

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Observation 48bcb12a-f9ca-4b48-9049-acec73fb68c7 · outbound

This paper cites Regularized adaptation of discrim inative classifiers.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Regularized adaptation of discrim inative classifiers

Reference 25

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verified fuzzy
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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.

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Observation f0840aee-46b0-48c7-b0b4-6daa046f4286 · outbound

This paper cites Lattice- based unsu- pervised acoustic model training.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Lattice- based unsu- pervised acoustic model training

Reference 26

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verified fuzzy
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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.

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Observation 3ad96e1a-f295-4614-bdc4-3bcecf54fcf5 · outbound

This paper cites Semi - supervised training of acoustic models using lattice-free MMI.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Semi - supervised training of acoustic models using lattice-free MMI

Reference 27

Resolution
verified fuzzy
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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.

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Observation c7bbb7cb-d828-4c70-be1b-675cc41bcdfc · outbound

This paper cites TED-LIUM:an auto- matic speech recognition dedicated corpus.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models TED-LIUM:an auto- matic speech recognition dedicated corpus

Reference 28

Resolution
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raw_fallback, observed 2026-05-25T15:07:01.968160Z

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.

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Observation 0f94aa79-e3f6-49f7-aeea-ca544ff35811 · outbound

This paper cites Enhancing the TED- LIUM corpus with selected data for language modeling and mor e TED talks.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Enhancing the TED- LIUM corpus with selected data for language modeling and mor e TED talks

Reference 29

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verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.922653Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:5680514ed769fc970eb1a25145436eca75bbe1438a100dd20b2dd6735c1faf68

Observation f39c2557-0bb8-4ab4-8f32-c9b71e2be685 · outbound

This paper cites The MGB challenge: Evaluating multi-genre broadcast medi a recognition.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models The MGB challenge: Evaluating multi-genre broadcast medi a recognition

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.882900Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:f23e2792f6d2a8e823c261a9253ef453bc24b541ed61b2f8a24c89e0a2335f11

Observation 7e01710c-13c6-49af-b1f8-4446119d96d1 · outbound

This paper cites Maximum mu - tual information estimation of hidden markov model paramet ers for speech recognition.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Maximum mu - tual information estimation of hidden markov model paramet ers for speech recognition

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.982450Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:b9f9be51a6a441b3cce0eec41e3670fa3c7ba93a134924ef261f4cb1da444bb9

Observation 69e6513c-41b5-418f-833e-64eb34367848 · outbound

This paper cites Unsupervis ed training and directed manual transcription for L VCSR.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Unsupervis ed training and directed manual transcription for L VCSR

Reference 32

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verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.905183Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:ff29c3a95d5a93f210721f73f9a7bc4d67d55516a2fcee2b03e54d98b2fa7a16

Observation ff1ec517-c427-4bb5-8735-8c8b1641dc53 · outbound

This paper cites Lattice-based u n- supervised mllr for speaker adaptation.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Lattice-based u n- supervised mllr for speaker adaptation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.904956Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:427c540429fc9bc109e2b58282d50caa2999a923a7881639e819ea59c2ebb971

Observation 146cb024-de27-4994-9da2-241afd0370d7 · outbound

This paper cites Discriminative training for large vocabula ry speech recognition.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Discriminative training for large vocabula ry speech recognition

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.960684Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:0ffbaffe19fa9895206dd6217ca167bdd622cdc90c810a8ed9b5e1f500208d6b

Observation b8c54355-2b4a-49e6-84e9-798c1105abcc · outbound

This paper cites Purely sequence-trained neu- ral networks for ASR based on lattice-free MMI.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Purely sequence-trained neu- ral networks for ASR based on lattice-free MMI

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.972680Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:407b12734c8c0923cffe96e6e6601cce57443e0c6eda6007fb48ad16258b2ea1

Observation e8558ed8-cc85-4a2a-ae8a-7330236a5b15 · outbound

This paper cites Sequen ce- discriminative training of deep neural networks.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Sequen ce- discriminative training of deep neural networks

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.953332Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:0eff0d1d225f8931c9d76f9f7604f4cf8c05837b913566124671975c7728f249

Observation a78b4ca4-9b1e-47f2-9624-ff509301d419 · outbound

This paper cites A novel loss functio n for the overall risk criterion based discriminative training of HM M mod- els.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models A novel loss functio n for the overall risk criterion based discriminative training of HM M mod- els

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.968632Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:5d7bccfb57bdcaa0d1436e1ec1e7d48836f7853c702ef82e7954c7f8d8541444

Observation 7e95c0c6-a343-49e5-bc5f-717fd7914fc9 · outbound

This paper cites End-t o-end speech recognition using lattice-free MMI.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models End-t o-end speech recognition using lattice-free MMI

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.978280Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:25b16fdad79f5e9e463f7334bf17b820594ff6ca2f177a56a4054ff5aafb2e4e

Observation b38af7bc-e48f-4d42-820a-b7bcea15403d · outbound

This paper cites A compact model for speaker-adaptive training.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models A compact model for speaker-adaptive training

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.960273Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:f0d18dd0c92393278b06a2eeb4ee3d6e07ddfdf82a2e52c111929037bca387b7

Observation 9e51478d-32ea-4ac0-9f65-3c6cd46c6fcd · outbound

This paper cites SA T-LHUC: Speaker adap tive training for learning hidden unit contributions.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models SA T-LHUC: Speaker adap tive training for learning hidden unit contributions

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.952897Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:ac613b6b99f558772a9a2b3d2705d8db846cd27ee0dfea3b5c5ecab6ce288ac9

Observation a9d3d1b4-1708-4731-a024-4366706edc6a · outbound

This paper cites The Kaldi speech recog- nition toolkit.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models The Kaldi speech recog- nition toolkit

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.891670Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:a06afb57b31b51f7ac1b120dfc680504a8c84da3d46064e6b4d02c6a1a4c3e45

Observation 643f629e-87fd-4510-85ea-09b0cb3d7d4f · outbound

This paper cites A time delay ne ural network architecture for efficient modeling of long tempora l con- texts.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models A time delay ne ural network architecture for efficient modeling of long tempora l con- texts

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.982748Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:f6bb40ff00bc4dae5a35a6a450fbbcf6c0d59c92aeaf8a9ea40dde2a077ff06b

Observation 63f70346-cb8d-4c41-991a-8d951508b450 · outbound

This paper cites Overview of the IWSLT 2012 evaluation campaign.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Overview of the IWSLT 2012 evaluation campaign

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.914392Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:b45a03ca99ee1b06e2986b3a156ff364cd4d624ce717e74fc50e09d550b45f46

Observation eabaa3d7-94ba-44cf-8c1e-e184c63fb940 · outbound

This paper cites Semi-orthogonal low-rank matrix factor iza- tion for deep neural networks.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Semi-orthogonal low-rank matrix factor iza- tion for deep neural networks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.940183Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:e377d377804ab5c4bb347ba49f24caf0d800a12b1ea3e7cce6b2a8d800476d01

Observation 8639ea4b-d097-4efa-bb3c-9758ed4f6162 · outbound

This paper cites A pitch extraction algorithm tuned for au to- matic speech recognition.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models A pitch extraction algorithm tuned for au to- matic speech recognition

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.964223Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:d9d77cd2acf33c9449c639f283f93094f6d0bc5083c7144877f520bd66798bc3

Observation 969892ab-a441-4864-9a8e-e4515e0be6bb · outbound

This paper cites Multilingual representations for low resource speech recognition and ke yword search.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Multilingual representations for low resource speech recognition and ke yword search

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.990593Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:94c8595ead23002d79beed1427afa55c9a27e32b9efa975a5a11fd8d7aa5aff3

Observation 2c520375-6334-41a1-93b2-5d8b5fc9ac9c · outbound

This paper cites Low-resource s peech recognition and keyword-spotting.

Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models Low-resource s peech recognition and keyword-spotting

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T15:07:01.943896Z

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.

source=pdf_text observed=2026-05-25T15:06:56.652596Z digest=sha256:44ac465a629fac65cece65423ee8cc7d4a4557da0b012493ccd74175914cd171

Pith citing papers

Observation 88971923-397f-4e26-9754-68d13f0a942b · inbound

An Investigation of Test-time Adaptation for Audio Classification under Background Noise cites this paper.

An Investigation of Test-time Adaptation for Audio Classification under Background Noise Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:33:41.653723Z

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.

source=pdf_text observed=2026-08-06T15:33:38.783168Z digest=sha256:4de2c266085a4b69ba2bd3a8e2a2174f74c58f7e54596f627593529864fb6913