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 1571–1580 of 3012 papers

Title	Date	Tasks	Status
On the Effectiveness of Pinyin-Character Dual-Decoding for End-to-End Mandarin Chinese ASR	Jan 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The Norwegian Parliamentary Speech Corpus	Jan 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Run-and-back stitch search: novel block synchronous decoding for streaming encoder-decoder ASR	Jan 25, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transformer-Based Video Front-Ends for Audio-Visual Speech Recognition for Single and Multi-Person Video	Jan 25, 2022	Audio-Visual Speech RecognitionAutomatic Speech Recognition	—Unverified
Improving non-autoregressive end-to-end speech recognition with pre-trained acoustic and language models	Jan 25, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving the fusion of acoustic and text representations in RNN-T	Jan 25, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition	Jan 22, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Human and Automatic Speech Recognition Performance on German Oral History Interviews	Jan 18, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR	Jan 18, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
DUAL: Textless Spoken Question Answering with Speech Discrete Unit Adaptive Learning	Jan 16, 2022	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