MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding | Paper Citation Record

Observation a9a44754-d71f-4e23-a605-e855260074f1 · outbound

This paper cites Alexa, siri, cortana, and more: an introduction to voice assistants,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Alexa, siri, cortana, and more: an introduction to voice assistants,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:53.385179Z

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Observation 6b65390f-2161-4ae4-9240-8a5eeb98f0fd · outbound

This paper cites Deep spoken keyword spotting: An overview,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Deep spoken keyword spotting: An overview,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:53.225446Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 10fead19-721b-442e-bce6-8fbfb48ae810 · outbound

This paper cites Speechgpt: Empowering large language models with intrinsic cross- modal conversational abilities,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Speechgpt: Empowering large language models with intrinsic cross- modal conversational abilities,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:53.061046Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f69941b4-1d90-4651-9f4f-9e95b54a38eb · outbound

This paper cites A survey on speech large language models,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding A survey on speech large language models,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:33.486620Z

Source-reported events for the cited work

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Observation a6c1b79e-1f1d-42bd-9d60-646fde200bf9 · outbound

This paper cites LLaMA-Omni: Seamless Speech Interaction with Large Language Models.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding LLaMA-Omni: Seamless Speech Interaction with Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:33.562854Z

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Observation 36838518-ea4c-4399-8fe0-0f8f9a24e688 · outbound

This paper cites OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:33.651088Z

Source-reported events for the cited work

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Observation 25218c08-b064-4bf1-a186-2883d0ae5af2 · outbound

This paper cites Moshi: a speech-text foundation model for real-time dialogue.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Moshi: a speech-text foundation model for real-time dialogue

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:33.768643Z

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Observation d70c55fd-bf15-4950-beb6-956a139fbbc8 · outbound

This paper cites GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:33.837927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03e950ad-8dc9-4668-9adc-5f8d4102119b · outbound

This paper cites Query-by-example keyword spotting using long short-term memory networks,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Query-by-example keyword spotting using long short-term memory networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:52.926946Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7343596c-ec2c-41d6-a066-f90356c86e3a · outbound

This paper cites Query-by-example search with discriminative neural acoustic word embeddings,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Query-by-example search with discriminative neural acoustic word embeddings,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:52.744855Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2dc15c23-6dc0-4725-a4a6-909dd41f3501 · outbound

This paper cites DONUT: CTC-based Query-by-Example Keyword Spotting.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding DONUT: CTC-based Query-by-Example Keyword Spotting

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:34.098921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34f9e0ca-28ef-46a9-b65c-d6e153c7452a · outbound

This paper cites Open-vocabulary keyword spotting with audio and text embeddings,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Open-vocabulary keyword spotting with audio and text embeddings,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:52.532737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 812343ab-247f-47f2-a2d8-4889e532b95a · outbound

This paper cites A stage match for query-by-example spoken term detection based on structure information of query,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding A stage match for query-by-example spoken term detection based on structure information of query,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:52.206676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 857ec148-9bf1-48db-a121-d80c5fdc303b · outbound

This paper cites Query-by-example keyword spotting system using multi-head attention and soft-triple loss,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Query-by-example keyword spotting system using multi-head attention and soft-triple loss,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:51.970684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8979e9f6-2ce5-4471-8731-3de9261fc6aa · outbound

This paper cites Generalized keyword spotting using asr embeddings,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Generalized keyword spotting using asr embeddings,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:51.689417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation efb4a100-92f5-46a4-a9f9-4c4b12b1ef7c · outbound

This paper cites Learning audio-text agreement for open-vocabulary keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Learning audio-text agreement for open-vocabulary keyword spotting,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:51.547619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d520209a-730c-4a70-b67c-8eae3ae3d784 · outbound

This paper cites Multilingual query- by-example keyword spotting with metric learning and phoneme-to- embedding mapping,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Multilingual query- by-example keyword spotting with metric learning and phoneme-to- embedding mapping,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:51.396046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62fb89f2-7d88-4e55-b12f-491621eb9635 · outbound

This paper cites Metric learning for user-defined keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Metric learning for user-defined keyword spotting,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:51.209097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f839293c-8b61-4a69-87d9-7b6c5645f2f7 · outbound

This paper cites Matching Latent Encoding for Audio- Text based Keyword Spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Matching Latent Encoding for Audio- Text based Keyword Spotting,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:50.970889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 74c2009a-a903-44ff-b1ea-38c03bdaa6c8 · outbound

This paper cites PhonMatchNet: Phoneme-Guided Zero-Shot Keyword Spotting for User-Defined Keywords,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding PhonMatchNet: Phoneme-Guided Zero-Shot Keyword Spotting for User-Defined Keywords,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:50.826919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4951649-5ae6-43a5-948c-d8b63c50fd50 · outbound

This paper cites Contrastive learning with audio discrimination for customizable keyword spotting in continuous speech,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Contrastive learning with audio discrimination for customizable keyword spotting in continuous speech,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:50.657311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0c1d2fd3-dcca-4b70-aea2-9c5d7ebb1847 · outbound

This paper cites Flexible keyword spotting based on homogeneous audio-text embedding,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Flexible keyword spotting based on homogeneous audio-text embedding,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:50.516625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1644a794-40dd-4661-a6f0-01f6e0bd4aab · outbound

This paper cites Small-footprint keyword spotting using deep neural networks,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Small-footprint keyword spotting using deep neural networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:50.282202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4a695aa2-fbee-4a65-b882-d7202c757faf · outbound

This paper cites Automatic gain control and multi-style training for robust small- footprint keyword spotting with deep neural networks,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Automatic gain control and multi-style training for robust small- footprint keyword spotting with deep neural networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:50.120935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4950f220-819f-49af-8dcf-ff7110314ec6 · outbound

This paper cites Efficient keyword spotting using dilated convolutions and gating,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Efficient keyword spotting using dilated convolutions and gating,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:49.924624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4db9a8f5-ee1d-4de8-a4ba-8824c462084d · outbound

This paper cites Re-weighted interval loss for handling data imbalance problem of end- to-end keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Re-weighted interval loss for handling data imbalance problem of end- to-end keyword spotting,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:49.779564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f10bfa04-3539-46a7-9ff3-0513ece133c6 · outbound

This paper cites End-to-end multi-look keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding End-to-end multi-look keyword spotting,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:49.582125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 67fd00cc-23d8-42f6-863c-d30505eaf821 · outbound

This paper cites WeKWS: A production first small-footprint end-to-end keyword spot- ting toolkit,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding WeKWS: A production first small-footprint end-to-end keyword spot- ting toolkit,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:49.406989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5c1137b-d0c4-4d8c-a063-0433006f0435 · outbound

This paper cites Temporal convolution shrinkage network for keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Temporal convolution shrinkage network for keyword spotting,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:49.255115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8fc7ce5c-17ed-4ca7-93e7-933deb01e5f0 · outbound

This paper cites Convolutional neural networks for small- footprint keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Convolutional neural networks for small- footprint keyword spotting,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:49.085280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4a71bf8-24f5-4396-b277-46d4d91e84ea · outbound

This paper cites Online word-spotting in continuous speech with recurrent neural networks,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Online word-spotting in continuous speech with recurrent neural networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:48.928534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6905877-14b8-4b48-9dc9-53bc2471c08a · outbound

This paper cites Max-pooling loss train- ing of long short-term memory networks for small-footprint keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Max-pooling loss train- ing of long short-term memory networks for small-footprint keyword spotting,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:48.781397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0d2a0252-a9c1-452d-a570-3fe910034cd4 · outbound

This paper cites Attention-based end-to-end models for small-footprint keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Attention-based end-to-end models for small-footprint keyword spotting,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:48.627219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 331e7a91-085e-4b56-81b8-13bc1bc958eb · outbound

This paper cites Adversarial examples for improving end-to-end attention-based small- footprint keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Adversarial examples for improving end-to-end attention-based small- footprint keyword spotting,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:48.448095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11828a08-2010-4922-b330-3c2bb865c031 · outbound

This paper cites Unrestricted vocabulary keyword spotting using LSTM-CTC,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Unrestricted vocabulary keyword spotting using LSTM-CTC,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:48.254184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34718151-e141-4a0e-ab3e-26db5a29f8e7 · outbound

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

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Rnn-t based open-vocabulary keyword spotting in mandarin with multi-level detection,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:48.035385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab0df9b3-ace7-4579-a1fc-fd5ea7523be8 · outbound

This paper cites CaTT- KWS: A multi-stage customized keyword spotting framework based on cascaded transducer-transformer,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding CaTT- KWS: A multi-stage customized keyword spotting framework based on cascaded transducer-transformer,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:47.821259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 09d48024-2ab5-4edf-93be-21a60b4c97ee · outbound

This paper cites U2-KWS: Unified two-pass open-vocabulary keyword spotting with keyword bias,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding U2-KWS: Unified two-pass open-vocabulary keyword spotting with keyword bias,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:47.653010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3e9b5965-ac17-4250-ae03-69f79de61783 · outbound

This paper cites TDT-KWS: Fast and accurate keyword spotting using token-and-duration transducer,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding TDT-KWS: Fast and accurate keyword spotting using token-and-duration transducer,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:47.462165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c217cc65-1cf9-4fae-b358-ab72bed145b0 · outbound

This paper cites Streaming keyword spotting boosted by cross-layer discrimination consistency,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Streaming keyword spotting boosted by cross-layer discrimination consistency,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:47.106971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b579f61b-8f83-490b-9b28-bd8570426045 · outbound

This paper cites Text-aware speech separation for multi-talker keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Text-aware speech separation for multi-talker keyword spotting,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:46.967812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 170423a1-4bfb-475e-8cf4-9d70d275f472 · outbound

This paper cites NTC-KWS: Noise-aware ctc for robust keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding NTC-KWS: Noise-aware ctc for robust keyword spotting,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:46.733280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49c467a1-6b74-4e2a-b447-515bf8c30c58 · outbound

This paper cites Text adaptive detection for customizable keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Text adaptive detection for customizable keyword spotting,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:46.539355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 25ae81cd-079b-4223-800d-25cc14702682 · outbound

This paper cites Multi-task learning and weighted cross-entropy for dnn-based keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Multi-task learning and weighted cross-entropy for dnn-based keyword spotting,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:46.412603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3b0cbb46-6733-47eb-991c-0bca1068a110 · outbound

This paper cites Compressed time delay neural network for small-footprint keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Compressed time delay neural network for small-footprint keyword spotting,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:36.955252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bf412d8-c7bb-4a96-8854-36a796e21bbc · outbound

This paper cites Streaming small-footprint keyword spotting using sequence-to- sequence models,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Streaming small-footprint keyword spotting using sequence-to- sequence models,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:46.286167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0b3af7af-4176-4835-9490-d5f9cbdbf831 · outbound

This paper cites Monophone-based background modeling for two-stage on-device wake word detection,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Monophone-based background modeling for two-stage on-device wake word detection,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:46.145845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 921bdef9-b2e5-4fbd-bd60-301f63245ed3 · outbound

This paper cites Adaptation of rnn transducer with text-to-speech technology for keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Adaptation of rnn transducer with text-to-speech technology for keyword spotting,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:45.978321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0248f910-2639-4912-ad30-9f9f84b0dc20 · outbound

This paper cites Improving rnn transducer modeling for small-footprint keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Improving rnn transducer modeling for small-footprint keyword spotting,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:45.796447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8970ec2-bb96-4b06-a70d-be6c30d2e2cc · outbound

This paper cites Sequence transduction with recurrent neural networks,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Sequence transduction with recurrent neural networks,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:45.604131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d722b0a9-589d-44cd-a7a7-8ade8e6c4a91 · outbound

This paper cites Self-attention transducers for end-to-end speech recognition,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Self-attention transducers for end-to-end speech recognition,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:45.368781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9bf10e09-e6c5-40e3-9bad-6da95f6a5d63 · outbound

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

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Transformer-Transducer: End-to-End Speech Recognition with Self-Attention

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:37.575104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49f18ec2-cd21-4702-a1a8-5fd1e1f554f0 · outbound

This paper cites Transformer transducer: A streamable speech recognition model with transformer encoders and rnn-t loss,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Transformer transducer: A streamable speech recognition model with transformer encoders and rnn-t loss,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:45.081826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 66974336-0a17-4b4f-a167-3642f1982205 · outbound

This paper cites ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:44.857172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef5979f1-c8b9-4d8f-9cc1-f0154f1fc560 · outbound

This paper cites Tiny transducer: A highly-efficient speech recognition model on edge devices,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Tiny transducer: A highly-efficient speech recognition model on edge devices,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:44.700343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ecc7018-8fd9-4067-9f52-de7fa58b8053 · outbound

This paper cites Joint ctc-attention based end-to-end speech recognition using multi-task learning,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Joint ctc-attention based end-to-end speech recognition using multi-task learning,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:44.552039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b7e9df8-c521-411f-9fec-2e67aa447724 · outbound

This paper cites Joint ctc/attention decoding for end-to-end speech recognition,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Joint ctc/attention decoding for end-to-end speech recognition,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:44.418443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7224810c-50d3-48fe-b35e-3692e457d198 · outbound

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

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Hy- brid ctc/attention architecture for end-to-end speech recognition,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:38.062905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee09c179-8213-4e44-a725-d707d809a4fd · outbound

This paper cites Espnet: End-to-end speech processing toolkit,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Espnet: End-to-end speech processing toolkit,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:44.258356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f7e6be9d-6756-4694-ab01-fde22247a7bb · outbound

This paper cites Nemo: a toolkit for building ai applications using neural modules,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Nemo: a toolkit for building ai applications using neural modules,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:44.049269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b91fbd8-9f93-4733-9dd7-4937467912ad · outbound

This paper cites Keyword search using attention-based end-to-end asr and frame-synchronous phoneme alignments,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Keyword search using attention-based end-to-end asr and frame-synchronous phoneme alignments,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:43.847242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d404bf2-2d05-4dad-bb1e-6a5015e7dfd0 · outbound

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

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Connec- tionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:43.640050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fcb81964-57ed-42d1-9979-3f645bb801fc · outbound

This paper cites Phone synchronous decoding with CTC lattice,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Phone synchronous decoding with CTC lattice,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:43.455599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3e00760e-3cca-46ec-9cb9-fb326604b857 · outbound

This paper cites Phone synchronous speech recognition with ctc lattices,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Phone synchronous speech recognition with ctc lattices,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:43.245695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3328987a-5eae-4a18-a1ea-31273956a991 · outbound

This paper cites Efficient sequence transduction by jointly predicting tokens and dura- tions,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Efficient sequence transduction by jointly predicting tokens and dura- tions,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:43.015675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0da37e1a-a6db-4698-995e-d92797dc2b66 · outbound

This paper cites Region proposal network based small-footprint keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Region proposal network based small-footprint keyword spotting,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:42.831725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8f6dea8d-3559-4fee-98ae-aa7c03724209 · outbound

This paper cites Librispeech: an asr corpus based on public domain audio books,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Librispeech: an asr corpus based on public domain audio books,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:42.640684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0cdb8d0b-2bc5-426f-a75f-c806bf6652bf · outbound

This paper cites Aishell-2: Transforming mandarin asr research into industrial scale,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Aishell-2: Transforming mandarin asr research into industrial scale,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:42.432036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9bf2efe2-178f-45eb-90e2-e4eb51fb7f9a · outbound

This paper cites Wham!: Extending speech separation to noisy environments,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Wham!: Extending speech separation to noisy environments,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:42.237522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 940a2a53-1cc7-404f-bddd-9bdf665ebc86 · outbound

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

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Paraformer: Fast and accurate parallel transformer for non-autoregressive end-to-end speech recognition,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:42.027803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4316f3d9-6486-4e2e-bb48-5be67fea6414 · outbound

This paper cites Audio augmentation for speech recognition.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Audio augmentation for speech recognition

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:41.825864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 043979ee-f630-4c95-a576-dafe256739d5 · outbound

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

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Specaugment: A simple data augmentation method for automatic speech recognition,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:41.593384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d1e30cea-2327-4053-9b27-6dcb53575f29 · outbound

This paper cites Bifsmn: Binary neural network for keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Bifsmn: Binary neural network for keyword spotting,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:41.432890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5093c5fe-f399-4137-98c9-9bd9af9def4c · outbound

This paper cites Text adaptive detection for customizable keyword spotting,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Text adaptive detection for customizable keyword spotting,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:41.256095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14120e7c-dba0-46c5-ae81-e33df8675033 · outbound

This paper cites Joint ego-noise suppression and keyword spotting on sweeping robots,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Joint ego-noise suppression and keyword spotting on sweeping robots,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:41.053449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 627271cf-2182-45d2-994b-fddfc56df559 · outbound

This paper cites The CMU pronouncing dictionary,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding The CMU pronouncing dictionary,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:40.874856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6a9bbfcb-1294-45be-bdd3-d19c1e4f356f · outbound

This paper cites Decoupled weight decay regularization,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Decoupled weight decay regularization,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:39.578400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f39ecc5a-750d-48f1-afe5-2dc984ff5b2d · outbound

This paper cites Wake word detection with streaming transformers,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Wake word detection with streaming transformers,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:40.676363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 99420845-dafa-47fd-9962-ea17c4f3d584 · outbound

This paper cites Wake word detection with alignment-free lattice-free mmi,.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Wake word detection with alignment-free lattice-free mmi,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:40.467055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b0614e93-3d62-4aed-bd37-0c8dc2c4e401 · outbound

This paper cites Wake Word Detection Based on Res2Net.

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding Wake Word Detection Based on Res2Net

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:16:40.125457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers