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 1941–1950 of 3012 papers

Title	Date	Tasks	Status
Configurable Privacy-Preserving Automatic Speech Recognition	Apr 1, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adversarial Attacks and Defenses for Speech Recognition Systems	Mar 31, 2021	Adversarial RobustnessAutomatic Speech Recognition	—Unverified
Large-Scale Pre-Training of End-to-End Multi-Talker ASR for Meeting Transcription with Single Distant Microphone	Mar 31, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition	Mar 31, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multiple-hypothesis CTC-based semi-supervised adaptation of end-to-end speech recognition	Mar 29, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Quantifying Bias in Automatic Speech Recognition	Mar 28, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Mutually-Constrained Monotonic Multihead Attention for Online ASR	Mar 26, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Construction of a Large-scale Japanese ASR Corpus on TV Recordings	Mar 26, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
BART based semantic correction for Mandarin automatic speech recognition system	Mar 26, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Residual Energy-Based Models for End-to-End Speech Recognition	Mar 25, 2021	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