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 2221–2230 of 3012 papers

Title	Date	Tasks	Status
A systematic comparison of grapheme-based vs. phoneme-based label units for encoder-decoder-attention models	May 19, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Iterative Pseudo-Labeling for Speech Recognition	May 19, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech Recognition	May 19, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Weak-Attention Suppression For Transformer Based Speech Recognition	May 18, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Audio-visual Multi-channel Recognition of Overlapped Speech	May 18, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Quaternion Neural Networks for Multi-channel Distant Speech Recognition	May 18, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Effective End-to-End Modeling Approach for Mispronunciation Detection	May 18, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition	May 16, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Reducing Spelling Inconsistencies in Code-Switching ASR using Contextualized CTC Loss	May 16, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages	May 16, 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