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

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Showing 2021–2030 of 3012 papers

Title	Date	Tasks	Status
Exploring Transfer Learning For End-to-End Spoken Language Understanding	Dec 15, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A review of on-device fully neural end-to-end automatic speech recognition algorithms	Dec 14, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging	Dec 12, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improved Robustness to Disfluencies in RNN-Transducer Based Speech Recognition	Dec 11, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
On Knowledge Distillation for Direct Speech Translation	Dec 9, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition	Dec 8, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MLS: A Large-Scale Multilingual Dataset for Speech Research	Dec 7, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Using multiple ASR hypotheses to boost i18n NLU performance	Dec 7, 2020	Abstractive Text SummarizationAutomatic Speech Recognition	—Unverified
End to End ASR System with Automatic Punctuation Insertion	Dec 3, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
On-Device detection of sentence completion for voice assistants with low-memory footprint	Dec 1, 2020	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