Automatic Speech Recognition (ASR)

Automatic Speech Recognition (ASR) involves converting spoken language into written text. It is designed to transcribe spoken words into text in real-time, allowing people to communicate with computers, mobile devices, and other technology using their voice. The goal of Automatic Speech Recognition is to accurately transcribe speech, taking into account variations in accent, pronunciation, and speaking style, as well as background noise and other factors that can affect speech quality.

Papers

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Showing 261–270 of 3012 papers

Title	Date	Tasks	Status
MT2KD: Towards A General-Purpose Encoder for Speech, Speaker, and Audio Events	Sep 25, 2024	Audio TaggingAutomatic Speech Recognition	—Unverified
Speech Recognition Rescoring with Large Speech-Text Foundation Models	Sep 25, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Weighted Cross-entropy for Low-Resource Languages in Multilingual Speech Recognition	Sep 25, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Revisiting Acoustic Features for Robust ASR	Sep 24, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Spelling Correction through Rewriting of Non-Autoregressive ASR Lattices	Sep 24, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Bridging Speech and Text: Enhancing ASR with Pinyin-to-Character Pre-training in LLMs	Sep 24, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Boosting Code-Switching ASR with Mixture of Experts Enhanced Speech-Conditioned LLM	Sep 24, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Revise, Reason, and Recognize: LLM-Based Emotion Recognition via Emotion-Specific Prompts and ASR Error Correction	Sep 23, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder	Sep 21, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection	Sep 20, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

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All datasets LRS2 RealMAN Sagalee HUI speech corpus LRS3-TED M-AILabs speech dataset The Spoken Wikipedia Corpora Voxforge German VoxPopuli

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	TM-CTC	Test WER	10.1	—	Unverified
2	TM-seq2seq	Test WER	9.7	—	Unverified
3	CTC/attention	Test WER	8.2	—	Unverified
4	LF-MMI TDNN	Test WER	6.7	—	Unverified
5	Whisper-LLaMA	Test WER	6.6	—	Unverified
6	End2end Conformer	Test WER	3.9	—	Unverified
7	End2end Conformer	Test WER	3.7	—	Unverified
8	MoCo + wav2vec (w/o extLM)	Test WER	2.7	—	Unverified
9	CTC/Attention	Test WER	1.5	—	Unverified
10	Whisper	Test WER	1.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SpatialNet	CER	14.5	—	Unverified
2	CleanMel-L-mask	CER	14.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer	Test WER	15.32	—	Unverified
2	Whisper-largev3-finetuned	Test WER	10.82	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	1.89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DistillAV	WER	1.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	4.28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	8.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	3.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer (German)	WER (%)	8.98	—	Unverified