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 1681–1690 of 3012 papers

Title	Date	Tasks	Status
Continual learning using lattice-free MMI for speech recognition	Oct 13, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Word Order Does Not Matter For Speech Recognition	Oct 12, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Character Error Rate Is Not Equal to Having Clean Speech: Speech Enhancement for ASR Systems with Black-box Acoustic Models	Oct 12, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric	Oct 11, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation	Oct 11, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
SRU++: Pioneering Fast Recurrence with Attention for Speech Recognition	Oct 11, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Wav2vec-Switch: Contrastive Learning from Original-noisy Speech Pairs for Robust Speech Recognition	Oct 11, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Advancing Momentum Pseudo-Labeling with Conformer and Initialization Strategy	Oct 11, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation	Oct 10, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Towards High-fidelity Singing Voice Conversion with Acoustic Reference and Contrastive Predictive Coding	Oct 10, 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