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 1271–1280 of 3012 papers

Title	Date	Tasks	Status	Hype
Personalized Adversarial Data Augmentation for Dysarthric and Elderly Speech Recognition	May 13, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Who Are We Talking About? Handling Person Names in Speech Translation	May 13, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
A Closer Look at Audio-Visual Multi-Person Speech Recognition and Active Speaker Selection	May 11, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
End-to-End Multi-Person Audio/Visual Automatic Speech Recognition	May 11, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Best of Both Worlds: Multi-task Audio-Visual Automatic Speech Recognition and Active Speaker Detection	May 10, 2022	Active Speaker DetectionAutomatic Speech Recognition	—Unverified	0
Speaker Reinforcement Using Target Source Extraction for Robust Automatic Speech Recognition	May 9, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Vietnamese Automatic Speech Recognition using Wav2vec 2.0	May 8, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment	May 6, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
A Conformer-based Waveform-domain Neural Acoustic Echo Canceller Optimized for ASR Accuracy	May 6, 2022	Acoustic echo cancellationAutomatic Speech Recognition	—Unverified	0
Speaker Recognition in the Wild	May 5, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1

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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