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 1101–1110 of 3012 papers

Title	Date	Tasks	Status	Hype
On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question Answering	Sep 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
Unsupervised domain adaptation for speech recognition with unsupervised error correction	Sep 24, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement	Sep 22, 2022	Audio Super-ResolutionAutomatic Speech Recognition	CodeCode Available	2
Assessing ASR Model Quality on Disordered Speech using BERTScore	Sep 21, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models	Sep 17, 2022	Adversarial AttackAutomatic Speech Recognition	CodeCode Available	0
An Automatic Speech Recognition System for Bengali Language based on Wav2Vec2 and Transfer Learning	Sep 16, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
Non-Parallel Voice Conversion for ASR Augmentation	Sep 15, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
A Universally-Deployable ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement, and Voice Separation	Sep 14, 2022	Acoustic echo cancellationAutomatic Speech Recognition	—Unverified	0
Federated Pruning: Improving Neural Network Efficiency with Federated Learning	Sep 14, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Bangla-Wave: Improving Bangla Automatic Speech Recognition Utilizing N-gram Language Models	Sep 13, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—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