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 1561–1570 of 3012 papers

Title	Date	Tasks	Status	Hype
Intent Classification Using Pre-trained Language Agnostic Embeddings For Low Resource Languages	Oct 18, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
A Unified Speaker Adaptation Approach for ASR	Oct 16, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
Multilingual Speech Recognition using Knowledge Transfer across Learning Processes	Oct 15, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet	Oct 15, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese	Oct 14, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Identifying Introductions in Podcast Episodes from Automatically Generated Transcripts	Oct 14, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Sub-word Level Lip Reading With Visual Attention	Oct 14, 2021	Audio-Visual Active Speaker DetectionAutomatic Speech Recognition	—Unverified	0
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing	Oct 14, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Continual learning using lattice-free MMI for speech recognition	Oct 13, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
All-neural beamformer for continuous speech separation	Oct 13, 2021	AllAutomatic Speech Recognition	—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