Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems | Paper Citation Record

Observation 11db9d7c-8e3b-4198-a6bc-1b8e5fffbb68 · outbound

This paper cites Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,

Reference 1

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Observation f7f1ea8e-1476-4043-9d28-2b0aa8db8904 · outbound

This paper cites Hybrid ctc/attention architecture for end-to-end speech recognition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Hybrid ctc/attention architecture for end-to-end speech recognition,

Reference 2

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Observation 2095d3b1-e8d6-49e8-afab-564009151f8f · outbound

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

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,

Reference 3

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Observation b4c69068-b269-4da4-9bc8-7ac0012145a2 · outbound

This paper cites Attention is all you need,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Attention is all you need,

Reference 4

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Observation ab75db89-276c-470b-9458-8c626c82fc0f · outbound

This paper cites Speech-transformer: a no-recurrence sequence-to- sequence model for speech recognition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Speech-transformer: a no-recurrence sequence-to- sequence model for speech recognition,

Reference 5

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Observation e1fd1b12-f44a-4d9d-bafc-2a70d90e6f47 · outbound

This paper cites A comparative study on transformer vs rnn in speech applications,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems A comparative study on transformer vs rnn in speech applications,

Reference 6

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Observation 4bee5d7f-62eb-48c2-82d2-5097c1aac52e · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Conformer: Convolution-augmented Transformer for Speech Recognition,

Reference 7

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Observation d2390ca1-8927-4b0a-acd4-f2140f2dfb33 · outbound

This paper cites Recent developments on espnet toolkit boosted by conformer,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Recent developments on espnet toolkit boosted by conformer,

Reference 8

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Observation e7c11225-302e-4ce8-bc5e-05b7baf6788f · outbound

This paper cites Sequence Transduction with Recurrent Neural Networks.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Sequence Transduction with Recurrent Neural Networks

Reference 9

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Observation 047e0586-806e-42cd-81aa-7574d9fa98cd · outbound

This paper cites Recurrent neural networks,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Recurrent neural networks,

Reference 10

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Observation 3c41ce41-2d7b-4270-a270-7a0ebda4a6d8 · outbound

This paper cites Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:40.032849Z

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Observation 6d4faef4-48f6-4892-a2c7-dc86704e821e · outbound

This paper cites Efficient training of neural transducer for speech recognition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Efficient training of neural transducer for speech recognition,

Reference 12

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Observation 995b2255-cb3e-47ef-98d0-352f5904b3aa · outbound

This paper cites On the limit of english conversational speech recog- nition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems On the limit of english conversational speech recog- nition,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:40.213383Z

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Observation 7146709b-3bbc-4ffe-be3a-99477a6906f5 · outbound

This paper cites Improving the training recipe for a robust conformer-based hybrid model,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Improving the training recipe for a robust conformer-based hybrid model,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:40.327114Z

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Observation 9cd39ca8-bd36-4e63-9213-3cfcdf89c110 · outbound

This paper cites Confidence score based conformer speaker adaptation for speech recognition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Confidence score based conformer speaker adaptation for speech recognition,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:40.415984Z

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Observation 00bb68b6-2a8c-4174-b0bf-d35ecab8dbb3 · outbound

This paper cites Diagonal State Space Augmented Transformers for Speech Recognition.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Diagonal State Space Augmented Transformers for Speech Recognition

Reference 16

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Observation 0617d538-d4e0-42ce-b3bd-101d1af0fe27 · outbound

This paper cites Recent advances in end-to-end automatic speech recog- nition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Recent advances in end-to-end automatic speech recog- nition,

Reference 17

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Observation 0bcb61f5-291a-410e-b19c-38ee77418444 · outbound

This paper cites Improving Transformer-based Conversational ASR by Inter-Sentential Attention Mechanism.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Improving Transformer-based Conversational ASR by Inter-Sentential Attention Mechanism

Reference 18

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Observation ec1cfdea-1210-4095-8423-246400ab3e25 · outbound

This paper cites Improving asr contextual biasing with guided attention,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Improving asr contextual biasing with guided attention,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:40.773045Z

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Observation 0d3c780a-92b5-4b2b-8207-abaff055228d · outbound

This paper cites Optimizing byte-level representation for end-to-end asr,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Optimizing byte-level representation for end-to-end asr,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:40.851093Z

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Observation d9907ec3-f172-4699-9634-6a4165bf1ed9 · outbound

This paper cites Contextual modeling for document-level asr error correction,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Contextual modeling for document-level asr error correction,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:40.979654Z

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Observation 9c199e58-a953-4b7a-9239-740734c6c521 · outbound

This paper cites Promptasr for contextualized asr with controllable style,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Promptasr for contextualized asr with controllable style,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:41.065159Z

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Observation 6f881a35-e3a6-4ae2-80d2-cd350f18f212 · outbound

This paper cites Conversational speech recognition by learning audio- textual cross-modal contextual representation,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Conversational speech recognition by learning audio- textual cross-modal contextual representation,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:41.143119Z

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Observation 5efe2905-0318-4095-96cc-99e8f0f248b1 · outbound

This paper cites Dual-mode nam: Effective top-k context injection for end-to-end asr,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Dual-mode nam: Effective top-k context injection for end-to-end asr,

Reference 24

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Observation 3e8e1dbc-1089-4d79-ab86-e7db061ad785 · outbound

This paper cites CPPF: A contextual and post-processing-free model for automatic speech recognition.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems CPPF: A contextual and post-processing-free model for automatic speech recognition

Reference 25

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Observation 71a14c27-013a-4ac2-9140-e92a55b71557 · outbound

This paper cites CASA-ASR: Context-Aware Speaker-Attributed ASR.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems CASA-ASR: Context-Aware Speaker-Attributed ASR

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:31:50.531977Z

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Observation 593b9995-e5c3-43dc-8322-202f0bcb9e72 · outbound

This paper cites Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:41.493267Z

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Observation 461d666f-6e32-4906-83d4-166bd3dec097 · outbound

This paper cites Bring dialogue-context into rnn-t for streaming asr,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Bring dialogue-context into rnn-t for streaming asr,

Reference 28

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Observation 74b8dca5-c583-4fd1-acbd-7016962c5497 · outbound

This paper cites CopyNE: Better Contextual ASR by Copying Named Entities.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems CopyNE: Better Contextual ASR by Copying Named Entities

Reference 29

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Observation 08faf3b5-bde3-4fae-a1fe-1c067bc2b645 · outbound

This paper cites Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation

Reference 30

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Observation 6976842c-c120-407c-8157-c58085e3a12f · outbound

This paper cites Training language models for long-span cross-sentence evaluation,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Training language models for long-span cross-sentence evaluation,

Reference 31

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Observation d274690e-fcbd-4c06-aefb-1596b24930c2 · outbound

This paper cites LSTM-LM with Long-Term History for First-Pass Decoding in Conversational Speech Recognition.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems LSTM-LM with Long-Term History for First-Pass Decoding in Conversational Speech Recognition

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:31:49.827274Z

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Observation a44c5369-b7b4-4c4f-938f-b250fe31b8f0 · outbound

This paper cites Session-level language modeling for conversational speech,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Session-level language modeling for conversational speech,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:00.851580Z

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Observation 1a018f5b-d065-4fb8-9e11-3bc6c34ad837 · outbound

This paper cites Transformer-xl: attentive language models beyond a fixed-length context,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Transformer-xl: attentive language models beyond a fixed-length context,

Reference 34

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Observation de503af8-0a5f-4b5b-8e64-72b83282e881 · outbound

This paper cites End-to-end speech recognition on conversations,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems End-to-end speech recognition on conversations,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:32:00.225580Z

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Observation 20aad9f9-3f85-4409-9fd3-f433b7213289 · outbound

This paper cites Contextualizing ASR lattice rescoring with hybrid pointer network language model,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Contextualizing ASR lattice rescoring with hybrid pointer network language model,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:59.827745Z

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Observation 893e0851-d763-4751-9ca6-b08b2789e449 · outbound

This paper cites Use of contexts in language model interpolation and adaptation,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Use of contexts in language model interpolation and adaptation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:59.689635Z

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Observation 4a711db4-3544-43ce-89b3-b878233fdb68 · outbound

This paper cites Longformer: The Long-Document Transformer.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Longformer: The Long-Document Transformer

Reference 38

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Observation 29dfea9b-e96d-4063-8f0c-75fe30248ea4 · outbound

This paper cites Transformer language models with lstm-based cross- utterance information representation,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Transformer language models with lstm-based cross- utterance information representation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:59.523332Z

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Observation 9d5d7fc7-5001-4462-9ccb-d1aa6801088e · outbound

This paper cites Ctc-assisted llm-based contextual asr,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Ctc-assisted llm-based contextual asr,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:59.365324Z

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Observation 49e04d82-0591-4a2b-bcfa-165cee1248a3 · outbound

This paper cites Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition

Reference 41

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Observation 40e7f0d3-ce42-4085-9876-cddf36846caf · outbound

This paper cites Contextual asr error handling with llms augmentation for goal-oriented conversational ai,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Contextual asr error handling with llms augmentation for goal-oriented conversational ai,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:59.195690Z

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Observation 091432e8-62b9-48a7-86de-4e49e62bfb26 · outbound

This paper cites Towards asr robust spoken language understanding through in-context learning with word confusion networks,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Towards asr robust spoken language understanding through in-context learning with word confusion networks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:59.005515Z

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Observation 14d87e6b-ea9c-43bd-a846-96e9386cd530 · outbound

This paper cites Contextualization of asr with llm using phonetic retrieval- based augmentation,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Contextualization of asr with llm using phonetic retrieval- based augmentation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:58.856857Z

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Observation fd7b20e2-e5d2-4c48-8491-71acd464f171 · outbound

This paper cites End-to-end speech recognition contextualization with large language models,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems End-to-end speech recognition contextualization with large language models,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:58.746831Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 91402f0c-236e-4798-b02d-1be9e1a24467 · outbound

This paper cites Improving domain-specific asr with llm-generated contextual descriptions,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Improving domain-specific asr with llm-generated contextual descriptions,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:58.599667Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e5436655-70a5-4320-af73-a6360e8e52d1 · outbound

This paper cites MaLa-ASR: Multimedia-Assisted LLM-Based ASR.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems MaLa-ASR: Multimedia-Assisted LLM-Based ASR

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:31:49.498400Z

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Observation fde25a80-3665-471e-971e-2ca0bdc51efe · outbound

This paper cites Contextualized speech recognition: rethinking second- pass rescoring with generative large language models,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Contextualized speech recognition: rethinking second- pass rescoring with generative large language models,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:58.403844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4eecbe69-a9bd-41d0-9f06-79167b1a6412 · outbound

This paper cites Improving speech recognition with prompt-based contextualized asr and llm-based re-predictor,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Improving speech recognition with prompt-based contextualized asr and llm-based re-predictor,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:58.237641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation af0de628-c71a-4cc2-94db-f74b2e7f04d3 · outbound

This paper cites Using Large Language Model for End-to-End Chinese ASR and NER.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Using Large Language Model for End-to-End Chinese ASR and NER

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:43.555162Z

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Observation cdcaf6aa-a5b6-4586-b7a8-9ab090614695 · outbound

This paper cites Compressive Transformers for Long-Range Sequence Modelling.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Compressive Transformers for Long-Range Sequence Modelling

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:43.616971Z

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Observation 4d49d666-82cd-4600-a11c-daaf11c69055 · outbound

This paper cites Speaker-aware Speech-transformer,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Speaker-aware Speech-transformer,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:58.090493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a151e8a4-7ff0-434a-9d7a-4e0a24c7906e · outbound

This paper cites Transformer ASR with Contextual Block Process- ing,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Transformer ASR with Contextual Block Process- ing,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:57.946512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c9307482-10d9-4ae7-bc12-dbcab7aa9904 · outbound

This paper cites Transformer-based long-context end-to-end speech recognition.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Transformer-based long-context end-to-end speech recognition

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:57.806972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 24bdc12b-946d-40df-a2f9-8cf21cc5a672 · outbound

This paper cites Advanced long-context end-to-end speech recognition using context-expanded transformers,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Advanced long-context end-to-end speech recognition using context-expanded transformers,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:57.684237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 89b091be-dc99-4f00-a415-0b62fc89a353 · outbound

This paper cites Context-aware end-to-end asr using self-attentive embedding and tensor fusion,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Context-aware end-to-end asr using self-attentive embedding and tensor fusion,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:57.527917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 97cf2b87-6708-4372-9ff2-d8c13f6f46ce · outbound

This paper cites Longfnt: Long-form speech recognition with factorized neural transducer,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Longfnt: Long-form speech recognition with factorized neural transducer,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:57.374355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9bf31ccf-200c-406b-bb7e-aaf0ef13288c · outbound

This paper cites Advanced long-content speech recognition with factorized neural transducer,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Advanced long-content speech recognition with factorized neural transducer,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:57.213167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 288a580c-37a1-4974-87da-c5a9a22e0703 · outbound

This paper cites Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:31:49.180696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dace3c57-6b23-4716-b1f7-579469cae9fa · outbound

This paper cites Dialog-context aware end-to-end speech recognition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Dialog-context aware end-to-end speech recognition,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:57.039618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 500088fc-abbc-4dc7-970a-27a59f22f618 · outbound

This paper cites Improving RNN-T ASR Accuracy Using Context Audio.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Improving RNN-T ASR Accuracy Using Context Audio

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:31:48.854090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 58ce565f-11bf-4f36-af09-e80c3f164fc3 · outbound

This paper cites Large-context automatic speech recognition based on rnn transducer,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Large-context automatic speech recognition based on rnn transducer,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:56.894247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 15b7a962-8d94-426f-92b8-22bd2eff6411 · outbound

This paper cites Phoneme-aware encoding for prefix-tree-based contextual asr,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Phoneme-aware encoding for prefix-tree-based contextual asr,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:56.762269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 35ac3e39-c498-464b-8d23-00baa8686d08 · outbound

This paper cites Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:31:48.551140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 93f9e98f-fa5e-4f4c-a78a-0cc1a17b62a3 · outbound

This paper cites Contextualized end-to-end speech recognition with contextual phrase prediction network,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Contextualized end-to-end speech recognition with contextual phrase prediction network,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:56.611543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 90f4525e-4987-4c89-9d6d-2f4f2e527839 · outbound

This paper cites Semi-autoregressive streaming asr with label context,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Semi-autoregressive streaming asr with label context,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:56.459164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8e0f3d92-8326-49b5-b0de-56fd29b0fb72 · outbound

This paper cites Context-aware transformer transducer for speech recognition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Context-aware transformer transducer for speech recognition,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:56.309374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 10454637-34e0-4bc5-a807-76b2982a8845 · outbound

This paper cites Towards effective and compact contextual representation for conformer transducer speech recognition systems,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Towards effective and compact contextual representation for conformer transducer speech recognition systems,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:56.180065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3c8d4152-b711-4728-aacd-1b96368900e8 · outbound

This paper cites Wav2vec 2.0: a framework for self-supervised learning of speech representations,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Wav2vec 2.0: a framework for self-supervised learning of speech representations,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:56.044753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5701ae8b-ddff-49f9-80a5-e7d78d2fd852 · outbound

This paper cites Wavlm: large-scale self-supervised pre-training for full stack speech processing,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Wavlm: large-scale self-supervised pre-training for full stack speech processing,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:55.898704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3816819a-e1c4-41b2-91fc-8eda76b5cfc6 · outbound

This paper cites Hubert: Self-supervised speech representation learn- ing by masked prediction of hidden units,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Hubert: Self-supervised speech representation learn- ing by masked prediction of hidden units,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:55.727367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d25de274-8d78-40ef-8a6c-2c55cd28f302 · outbound

This paper cites data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:55.559832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1b8b7bd8-9bc8-49d5-8bcf-a14c1f119d77 · outbound

This paper cites XLS-R: Self-supervised Cross-lingual Speech Repre- sentation Learning at Scale,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems XLS-R: Self-supervised Cross-lingual Speech Repre- sentation Learning at Scale,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:55.366817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6d1bce3b-7bed-4b95-a086-62e88057544f · outbound

This paper cites Data2vec: A general framework for self-supervised learning in speech, vision and language,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Data2vec: A general framework for self-supervised learning in speech, vision and language,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:55.203752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2f732a3c-5b53-4682-ad90-78c29eb96669 · outbound

This paper cites Robust speech recognition via large-scale weak supervision,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Robust speech recognition via large-scale weak supervision,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:55.018209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d1bf3b75-9894-4e2f-9d00-f8bb23dc60eb · outbound

This paper cites fairseq: A Fast, Extensible Toolkit for Sequence Modeling.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:45.668112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e171fbec-8b85-4df6-ac32-35cbfffa24d1 · outbound

This paper cites Zipformer: A faster and better encoder for automatic speech recognition.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Zipformer: A faster and better encoder for automatic speech recognition

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:45.751156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7e200e4-be8f-4994-bed1-132c5b6756fa · outbound

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

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems ESPnet: End-to-End Speech Processing Toolkit,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:54.878240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0a05ab93-c5b3-4b3c-9891-049835cbe534 · outbound

This paper cites GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:45.946423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf08cde8-13d4-4769-93f2-da483918513b · outbound

This paper cites Wenetspeech: A 10000+ hours multi-domain man- darin corpus for speech recognition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Wenetspeech: A 10000+ hours multi-domain man- darin corpus for speech recognition,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:54.678706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 41321727-56bf-411a-a94d-3d2ea0de4481 · outbound

This paper cites The natural history of alzheimer’s disease: description of study cohort and accuracy of diagnosis,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems The natural history of alzheimer’s disease: description of study cohort and accuracy of diagnosis,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:54.500000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 877244d9-6847-4c06-97dc-e304f44a1a21 · outbound

This paper cites Speaker turn aware similarity scoring for diarization of speech-based cognitive assessments,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Speaker turn aware similarity scoring for diarization of speech-based cognitive assessments,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:54.337853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f96dc9c6-d6f3-4266-81f9-4c88cbab1a89 · outbound

This paper cites Self-supervised asr models and features for dysarthric and elderly speech recognition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Self-supervised asr models and features for dysarthric and elderly speech recognition,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:54.172237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fffb07a8-d62b-4a14-b776-a01fae785d9e · outbound

This paper cites Developing real-time streaming transformer transducer for speech recognition on large-scale dataset,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Developing real-time streaming transformer transducer for speech recognition on large-scale dataset,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:53.979937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6a90f7b1-9a5d-412f-bc2f-ffe669f11b70 · outbound

This paper cites Transformer transducer: a streamable speech recog- nition model with transformer encoders and RNN-T loss,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Transformer transducer: a streamable speech recog- nition model with transformer encoders and RNN-T loss,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:53.827935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9a4deac2-3a99-4335-b266-c56ae1695911 · outbound

This paper cites Transformer-Transducer: End-to-End Speech Recognition with Self-Attention.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Transformer-Transducer: End-to-End Speech Recognition with Self-Attention

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:46.546745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cd3241e-12b5-4540-9b0d-224aa63924af · outbound

This paper cites Language modeling with gated convolutional networks,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Language modeling with gated convolutional networks,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:53.598121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ead4386f-fbc7-462c-87c3-4eb7b118fbc1 · outbound

This paper cites Attentive Pooling Networks.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Attentive Pooling Networks

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:46.700394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ae1fd88-4d05-4373-bcbd-1ce6a34afdb4 · outbound

This paper cites Alzheimer’s Dementia Recognition Through Sponta- neous Speech: The ADReSS Challenge,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Alzheimer’s Dementia Recognition Through Sponta- neous Speech: The ADReSS Challenge,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:53.437465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bf71d3d1-869a-41fa-8a5f-4ea6c3ede40d · outbound

This paper cites Development of the cuhk elderly speech recognition system for neurocognitive disorder detection using the dementiabank corpus,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Development of the cuhk elderly speech recognition system for neurocognitive disorder detection using the dementiabank corpus,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:53.276825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0d376c8b-bcb5-424a-b8d6-1e2a86371335 · outbound

This paper cites Speaker Turn Aware Similarity Scoring for Diarization of Speech-Based Cognitive Assessments,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Speaker Turn Aware Similarity Scoring for Diarization of Speech-Based Cognitive Assessments,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:53.119919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d2f7a809-7897-40ff-8f05-8ffa777f06f6 · outbound

This paper cites Speaker adaptation using spectro-temporal deep features for dysarthric and elderly speech recognition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Speaker adaptation using spectro-temporal deep features for dysarthric and elderly speech recognition,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:52.961044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6b58fa7c-73a7-4d23-bdf8-1f82f5f72748 · outbound

This paper cites Some statistical issues in the comparison of speech recognition algorithms,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Some statistical issues in the comparison of speech recognition algorithms,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:52.783057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b9a8482f-8ffd-4bea-ac15-1162bb3c1154 · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:52.623835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4c969da5-5255-4ec0-93e0-c7c517cc5419 · outbound

This paper cites Tools for the analysis of benchmark speech recognition tests,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Tools for the analysis of benchmark speech recognition tests,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:52.403485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 44c0c64e-9953-4c8c-8a7e-eb64a6067c21 · outbound

This paper cites Exploiting Cross-domain And Cross-Lingual Ultrasound Tongue Imaging Features For Elderly And Dysarthric Speech Recog- nition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Exploiting Cross-domain And Cross-Lingual Ultrasound Tongue Imaging Features For Elderly And Dysarthric Speech Recog- nition,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:52.219031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ff45c5f5-5b0f-4e81-8a1a-ce0dfad35a06 · outbound

This paper cites Homogeneous speaker features for on-the-fly dysarthric and elderly speaker adaptation and speech recognition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Homogeneous speaker features for on-the-fly dysarthric and elderly speaker adaptation and speech recognition,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:52.029574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bc9f7db8-6cba-4681-9c3c-de2bb60715e9 · outbound

This paper cites Bayesian Parametric and Architectural Domain Adap- tation of LF-MMI Trained TDNNs for Elderly and Dysarthric Speech Recognition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Bayesian Parametric and Architectural Domain Adap- tation of LF-MMI Trained TDNNs for Elderly and Dysarthric Speech Recognition,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:51.813760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 65f23f34-7a71-4544-b5e4-7a1fe7f6ee55 · outbound

This paper cites Conformer Based Elderly Speech Recognition System for Alzheimer’s Disease Detection,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Conformer Based Elderly Speech Recognition System for Alzheimer’s Disease Detection,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:51.616251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fc64bde5-cc7b-458a-adf0-b7ea595b99f4 · outbound

This paper cites Hyper-parameter Adaptation of Conformer ASR Sys- tems for Elderly and Dysarthric Speech Recognition,.

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems Hyper-parameter Adaptation of Conformer ASR Sys- tems for Elderly and Dysarthric Speech Recognition,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:51.418413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers