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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 401–410 of 3012 papers

Title	Date	Tasks	Status	Hype
An efficient text augmentation approach for contextualized Mandarin speech recognition	Jun 14, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Inclusive ASR for Disfluent Speech: Cascaded Large-Scale Self-Supervised Learning with Targeted Fine-Tuning and Data Augmentation	Jun 14, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation	Jun 14, 2024	Audio-Visual Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	3
Multi-Channel Multi-Speaker ASR Using Target Speaker's Solo Segment	Jun 13, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
LASER: Learning by Aligning Self-supervised Representations of Speech for Improving Content-related Tasks	Jun 13, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition	Jun 13, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
The Second DISPLACE Challenge : DIarization of SPeaker and LAnguage in Conversational Environments	Jun 13, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Language Complexity and Speech Recognition Accuracy: Orthographic Complexity Hurts, Phonological Complexity Doesn't	Jun 13, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets	Jun 12, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Audio-conditioned phonemic and prosodic annotation for building text-to-speech models from unlabeled speech data	Jun 12, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0

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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