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awesome_speech_papers

github.com/jiltseb/awesome_speech_papers ↗

awesome_speech_papers

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54
Curated Resources
11
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9 hours ago
Last Refreshed
temporal (training schemes or undefined)1.1 CTC based ASR model1.2 Attention based ASR model1.3 Hybrid Model1.4 RNN-T based ASR model1.5 Streaming ASR1.5 ASR Rescoring / Spelling Correction (2-pass decoding)4.1 Dataset ( including all speech slu dataset IC/SF/SQA ... )4.2 Intent Classification (IC)4.3 Spoken Question Answering (SQA)4.4 Emotion Recognition (ER)

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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me 4.1 dataset ( including all speech slu dataset ic/sf/sqa ... ) resources from awesome_speech_papers"

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What's inside

4.1 Dataset ( including all speech slu dataset IC/SF/SQA ... )

4.4 Emotion Recognition (ER)

1.1 CTC based ASR model

1.5 ASR Rescoring / Spelling Correction (2-pass decoding)

1.4 RNN-T based ASR model

4.2 Intent Classification (IC)

4.3 Spoken Question Answering (SQA)

Showing a sample of 54 resources. View the full list on GitHub →