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 1921–1930 of 3012 papers

Title	Date	Tasks	Status
Capturing Multi-Resolution Context by Dilated Self-Attention	Apr 7, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Pushing the Limits of Non-Autoregressive Speech Recognition	Apr 7, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Dissecting User-Perceived Latency of On-Device E2E Speech Recognition	Apr 6, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions	Apr 6, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
LT-LM: a novel non-autoregressive language model for single-shot lattice rescoring	Apr 6, 2021	ARCAutomatic Speech Recognition	CodeCode Available
Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model	Apr 6, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models	Apr 6, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios	Apr 6, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding	Apr 5, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Speaker conditioned acoustic modeling for multi-speaker conversational ASR	Apr 5, 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