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 1331–1340 of 3012 papers

Title	Date	Tasks	Status	Hype
A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems	Apr 4, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge Distillation	Apr 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
End-to-end model for named entity recognition from speech without paired training data	Apr 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
PriMock57: A Dataset Of Primary Care Mock Consultations	Apr 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Alternate Intermediate Conditioning with Syllable-level and Character-level Targets for Japanese ASR	Apr 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Multi-task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding	Apr 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Text-To-Speech Data Augmentation for Low Resource Speech Recognition	Apr 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
End-to-End Multi-speaker ASR with Independent Vector Analysis	Apr 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
End-to-End Integration of Speech Recognition, Speech Enhancement, and Self-Supervised Learning Representation	Apr 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Zero-Shot Cross-lingual Aphasia Detection using Automatic Speech Recognition	Apr 1, 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