Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling | Paper Citation Record

Observation 1b8093fc-ba13-426a-83c8-096a58f89c13 · outbound

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

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Connec- tionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,

Reference 1

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Observation 112d8329-102a-4488-a97e-0012070563d2 · outbound

This paper cites Speech recognition with deep recurrent neural networks,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Speech recognition with deep recurrent neural networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:36.187262Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65dc0d33-9e26-4c1c-9160-9f838f1afaa5 · outbound

This paper cites Towards end-to-end speech recognition with recurrent neural networks,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Towards end-to-end speech recognition with recurrent neural networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:36.166384Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c9cd1101-02a5-4f8b-8974-903e506398f2 · outbound

This paper cites Attention-based models for speech recognition,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Attention-based models for speech recognition,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:36.151371Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b486f9a4-1885-4e5a-adc5-b6ea888eb352 · outbound

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

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:36.138465Z

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Observation ebba1dba-d433-4306-9c3e-84db2483a5fd · outbound

This paper cites Attention is all you need,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Attention is all you need,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:36.128461Z

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Observation b3ba633f-76db-48c6-a1ec-c56e4cdad95a · outbound

This paper cites Con- former: Convolution-augmented transformer for speech recognition,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Con- former: Convolution-augmented transformer for speech recognition,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:36.117179Z

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Observation ea9474d6-3e2d-47d1-a799-eb2e41227b53 · outbound

This paper cites End-to-end speech recognition: A survey,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling End-to-end speech recognition: A survey,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:36.106155Z

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Observation e3806d9a-1928-41c0-81b4-dd3b6be2e12b · outbound

This paper cites Bringing contextual information to google speech recognition,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Bringing contextual information to google speech recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:36.093416Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0ff329ed-7092-4499-a398-537846b7e39f · outbound

This paper cites Composition-based on-the-fly rescoring for salient n-gram biasing,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Composition-based on-the-fly rescoring for salient n-gram biasing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:36.078425Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aef6ed80-3c5a-46a7-b784-272388de85b5 · outbound

This paper cites Contextual speech recognition in end-to-end neural network systems using beam search,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Contextual speech recognition in end-to-end neural network systems using beam search,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:36.065548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b62b0213-b83c-4825-a85c-6a8441a92154 · outbound

This paper cites End-to-end contextual speech recognition using class language models and a token passing decoder,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling End-to-end contextual speech recognition using class language models and a token passing decoder,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:36.053034Z

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Observation 5c62fa6e-a1e3-40c6-ab93-aab7727b05b2 · outbound

This paper cites Shallow-fusion end-to-end contextual biasing,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Shallow-fusion end-to-end contextual biasing,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:36.041172Z

Source-reported events for the cited work

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Observation 20118f0c-fac3-4aca-a30e-815480a0d95f · outbound

This paper cites Streaming end-to-end speech recognition for mobile devices,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Streaming end-to-end speech recognition for mobile devices,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:36.024761Z

Source-reported events for the cited work

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Observation 6735de82-b7ea-422a-bceb-276a67cb26b0 · outbound

This paper cites Class lm and word mapping for contextual biasing in end-to-end asr,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Class lm and word mapping for contextual biasing in end-to-end asr,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:36.004909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d654f902-7e8c-44cd-ae63-f28d6965b9f0 · outbound

This paper cites Minimum word error rate training with language model fusion for end-to-end speech recognition,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Minimum word error rate training with language model fusion for end-to-end speech recognition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.989339Z

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Observation 77ae5969-2ef4-49ca-8145-484c9b9a0e5a · outbound

This paper cites Implementing contextual biasing in GPU decoder for online ASR,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Implementing contextual biasing in GPU decoder for online ASR,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.972701Z

Source-reported events for the cited work

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Observation 6d37d9f3-a6bd-4abb-ba38-39297db437ba · outbound

This paper cites Personal- ization of ctc-based end-to-end speech recognition using pronunciation- driven subword tokenization,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Personal- ization of ctc-based end-to-end speech recognition using pronunciation- driven subword tokenization,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.958960Z

Source-reported events for the cited work

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Observation 3f318767-7c52-42b5-b5d2-025b49b44437 · outbound

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

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Ctc-assisted llm-based contextual asr,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.945732Z

Source-reported events for the cited work

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Observation d438f59e-fc55-48eb-9335-0f8c39dbdfc1 · outbound

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

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling MaLa-ASR: Multimedia-Assisted LLM-Based ASR

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T16:25:35.036907Z

Source-reported events for the cited work

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Observation 59cb98da-6717-4a94-8f71-a35e1f0dfd05 · outbound

This paper cites Contextualized streaming end-to-end speech recognition with trie-based deep biasing and shallow fusion,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Contextualized streaming end-to-end speech recognition with trie-based deep biasing and shallow fusion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.933856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c753f99f-54e2-4664-879f-86ef7ecbff64 · outbound

This paper cites Deep shallow fusion for RNN-T personalization,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Deep shallow fusion for RNN-T personalization,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.923115Z

Source-reported events for the cited work

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Observation 10fac136-01ef-466e-8f31-bf60bb760e34 · outbound

This paper cites Tree-constrained pointer generator for end-to-end contextual speech recognition,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Tree-constrained pointer generator for end-to-end contextual speech recognition,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.912123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8834082-7796-401a-a3bf-7868c17e30a2 · outbound

This paper cites Selective biasing with trie-based contextual adapters for personalised speech recognition using neural transducers,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Selective biasing with trie-based contextual adapters for personalised speech recognition using neural transducers,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.898791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a0aea928-ed0f-44ab-b110-eef2fc2463c7 · outbound

This paper cites Minimising biasing word errors for contextual ASR with the tree-constrained pointer generator,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Minimising biasing word errors for contextual ASR with the tree-constrained pointer generator,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.887281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dac050fc-4e08-4af7-97af-df4e7de1449e · outbound

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

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Phoneme-aware encoding for prefix-tree-based contextual asr,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.872869Z

Source-reported events for the cited work

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Observation 8cf7b268-feb0-400a-9ac7-4e005f29cd69 · outbound

This paper cites Deep context: End-to-end contextual speech recognition,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Deep context: End-to-end contextual speech recognition,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.855020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 50bcafce-bb26-4680-b3e6-8883d39f18a4 · outbound

This paper cites Contextual speech recognition with difficult negative training examples,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Contextual speech recognition with difficult negative training examples,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.841537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f0dc1241-f96d-4abe-8e44-46219ebe61f5 · outbound

This paper cites Contextual RNN-T for open domain ASR,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Contextual RNN-T for open domain ASR,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.826614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a4068c41-b0cb-44e2-b3e3-3031f9889de5 · outbound

This paper cites Cif-based collaborative decoding for end-to-end contextual speech recognition,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Cif-based collaborative decoding for end-to-end contextual speech recognition,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.814485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 53bc2738-6d4d-4890-8485-047319297016 · outbound

This paper cites RNN-T based open-vocabulary keyword spotting in mandarin with multi-level detection,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling RNN-T based open-vocabulary keyword spotting in mandarin with multi-level detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.803701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dfe5037f-bf86-4e96-aa2d-3b353e24663c · outbound

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

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Context-aware transformer transducer for speech recogni- tion,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.793061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7fbb88a6-9468-4105-b66d-fe7caecc15b7 · outbound

This paper cites Improving end-to-end contextual speech recognition with fine-grained contextual knowledge selection,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Improving end-to-end contextual speech recognition with fine-grained contextual knowledge selection,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.781890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ee5b615c-67a9-4246-ab0c-5a635d4a5d65 · outbound

This paper cites Fast contextual adaptation with neural associa- tive memory for on-device personalized speech recognition,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Fast contextual adaptation with neural associa- tive memory for on-device personalized speech recognition,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.760391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2fef5d0c-95c2-4089-9137-7b53bb88c220 · outbound

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

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Contextualized end-to-end speech recognition with contextual phrase prediction network,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.743011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c1f2a682-7260-4d5b-9d62-52d7df9f45ac · outbound

This paper cites Approx- imate nearest neighbour phrase mining for contextual speech recogni- tion,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Approx- imate nearest neighbour phrase mining for contextual speech recogni- tion,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.731284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ec20bb48-f509-437b-8e49-56ce0eccebfc · outbound

This paper cites Two stage contextual word filtering for context bias in unified streaming and non- streaming transducer,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Two stage contextual word filtering for context bias in unified streaming and non- streaming transducer,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.709284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d5e32169-9c53-41d9-ae8f-690d20a40058 · outbound

This paper cites Effective training of attention-based contextual biasing adapters with synthetic audio for personalised ASR,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Effective training of attention-based contextual biasing adapters with synthetic audio for personalised ASR,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.693965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3ed691aa-aab6-4e5e-895b-68cb0e0993b1 · outbound

This paper cites Cb- conformer: Contextual biasing conformer for biased word recognition,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Cb- conformer: Contextual biasing conformer for biased word recognition,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.669648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 59936d91-6d09-4685-aa5c-42ba050f52fa · outbound

This paper cites Slot-triggered contextual bias- ing for personalized speech recognition using neural transducers,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Slot-triggered contextual bias- ing for personalized speech recognition using neural transducers,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.656299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5b4fb592-6ed0-4a3f-9e4c-2778a58325bc · outbound

This paper cites Locality enhanced dynamic biasing and sam- pling strategies for contextualASR,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Locality enhanced dynamic biasing and sam- pling strategies for contextualASR,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.643763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 942fcc48-aa88-483d-8a99-88c0ac200f83 · outbound

This paper cites Adaptive contextual biasing for transducer based streaming speech recognition,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Adaptive contextual biasing for transducer based streaming speech recognition,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.630010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4e23b92b-0428-451b-a80f-41df2e95f1b8 · outbound

This paper cites Gated contextual adapters for selective contextual biasing in neural transducers,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Gated contextual adapters for selective contextual biasing in neural transducers,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.616306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e3f11ae5-b882-4657-b75c-e445c16f18f6 · outbound

This paper cites Robust acoustic and semantic contextual biasing in neural transducers for speech recognition,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Robust acoustic and semantic contextual biasing in neural transducers for speech recognition,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.602893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0d790fc5-2ad2-4165-b4e2-a6b0d1662052 · outbound

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

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Dual-mode nam: Effective top-k context injection for end-to-end asr,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.588550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2f4e7e53-0cd0-42c8-b997-86dd62479002 · outbound

This paper cites Contex- tualized automatic speech recognition with attention-based bias phrase boosted beam search,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Contex- tualized automatic speech recognition with attention-based bias phrase boosted beam search,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.576991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 90902535-e5d7-45ad-8f22-3fbf21e47c4c · outbound

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

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Improving asr contextual biasing with guided attention,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.565603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5d9042dc-2404-4930-a680-a231e8d3ee6d · outbound

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

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Promptasr for contextualized asr with controllable style,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.554442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e71b9b2f-38eb-420f-b59a-fa053ecd95ab · outbound

This paper cites Seaco- paraformer: A non-autoregressive asr system with flexible and effective hotword customization ability,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Seaco- paraformer: A non-autoregressive asr system with flexible and effective hotword customization ability,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.538862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5e6d13a3-0ecd-4f91-9b6d-71fa2a72e51f · outbound

This paper cites Mask CTC: non-autoregressive end-to-end ASR with CTC and mask predict,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Mask CTC: non-autoregressive end-to-end ASR with CTC and mask predict,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.512181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1eba2f39-9f65-4878-a8e0-4446639cfcaf · outbound

This paper cites CIF: continuous integrate-and-fire for end-to-end speech recognition,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling CIF: continuous integrate-and-fire for end-to-end speech recognition,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.493892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f8a9e76c-9e57-4fce-9f53-a52a394f2aeb · outbound

This paper cites Non- autoregressive transformer for speech recognition,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Non- autoregressive transformer for speech recognition,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.481297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fce4719b-7e04-40d1-953d-fe5f495b0594 · outbound

This paper cites Non- autoregressive transformer ASR with ctc-enhanced decoder input,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Non- autoregressive transformer ASR with ctc-enhanced decoder input,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.467653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e20e8ea6-5d3e-4063-9b4d-c40537547ac4 · outbound

This paper cites Relaxing the conditional independence assumption of ctc-based ASR by conditioning on intermediate predic- tions,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Relaxing the conditional independence assumption of ctc-based ASR by conditioning on intermediate predic- tions,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.456642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 756d6b6e-922c-42f8-bfb5-522df30bf7f1 · outbound

This paper cites Paraformer: Fast and accurate parallel transformer for non-autoregressive end-to-end speech recognition,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Paraformer: Fast and accurate parallel transformer for non-autoregressive end-to-end speech recognition,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.443619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c9813be-5744-484b-a6e9-722ccd297acf · outbound

This paper cites Glancing transformer for non-autoregressive neural machine transla- tion,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Glancing transformer for non-autoregressive neural machine transla- tion,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.429942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6a7e7030-9739-40a7-97be-69574b508264 · outbound

This paper cites Minimum word error rate training for attention-based sequence- to-sequence models,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Minimum word error rate training for attention-based sequence- to-sequence models,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.416035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4f2b19e5-4bbe-4431-874e-d7e25d3aa853 · outbound

This paper cites Long short-term memory,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Long short-term memory,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T16:25:35.193217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f382637-138a-4f6c-9424-b0f8a2a1b18a · outbound

This paper cites Focal loss for dense object detection,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Focal loss for dense object detection,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.394114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4df1a77d-0a7e-47e2-8a92-2ad2fa2a9774 · outbound

This paper cites Supervised contrastive learning,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Supervised contrastive learning,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.382192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 055adf76-b63b-4515-a5a1-2837a9603729 · outbound

This paper cites AISHELL- NER: named entity recognition from chinese speech,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling AISHELL- NER: named entity recognition from chinese speech,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.366835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c429deec-6edc-4fa3-acf2-738d22868952 · outbound

This paper cites AISHELL-1: an open- source mandarin speech corpus and a speech recognition baseline,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling AISHELL-1: an open- source mandarin speech corpus and a speech recognition baseline,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.350777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 500f789f-648d-4a74-811e-0e378f86f63f · outbound

This paper cites Kespeech: An open source speech dataset of mandarin and its eight subdialects,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Kespeech: An open source speech dataset of mandarin and its eight subdialects,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.333076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0f52e3aa-95e0-42a4-9f7d-b28c6e4a3a23 · outbound

This paper cites Funasr: A fundamental end-to-end speech recognition toolkit,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Funasr: A fundamental end-to-end speech recognition toolkit,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.313891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4842b502-a1cc-467a-b37a-f0405a423ac6 · outbound

This paper cites SAN-M: memory equipped self-attention for end-to-end speech recognition,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling SAN-M: memory equipped self-attention for end-to-end speech recognition,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.298933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0353c75e-a832-46b9-b99a-9d530a9e855c · outbound

This paper cites Specaugment: A simple data augmentation method for automatic speech recognition,.

Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling Specaugment: A simple data augmentation method for automatic speech recognition,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:25:35.285179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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