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 1031–1040 of 3012 papers

Title	Date	Tasks	Status	Hype
Contextual-Utterance Training for Automatic Speech Recognition	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Simulating realistic speech overlaps improves multi-talker ASR	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Iterative pseudo-forced alignment by acoustic CTC loss for self-supervised ASR domain adaptation	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
TRScore: A Novel GPT-based Readability Scorer for ASR Segmentation and Punctuation model evaluation and selection	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
SAN: a robust end-to-end ASR model architecture	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Make More of Your Data: Minimal Effort Data Augmentation for Automatic Speech Recognition and Translation	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Streaming Voice Conversion Via Intermediate Bottleneck Features And Non-streaming Teacher Guidance	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task Learning	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-To-Speech	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
V-Cloak: Intelligibility-, Naturalness- & Timbre-Preserving Real-Time Voice Anonymization	Oct 27, 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