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 1831–1840 of 3012 papers

Title	Date	Tasks	Status
Zero-Shot Joint Modeling of Multiple Spoken-Text-Style Conversion Tasks using Switching Tokens	Jun 23, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Mixtures of Deep Neural Experts for Automated Speech Scoring	Jun 23, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Discriminative Entity-Aware Language Model for Virtual Assistants	Jun 21, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
On-Device Personalization of Automatic Speech Recognition Models for Disordered Speech	Jun 18, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Low Resource German ASR with Untranscribed Data Spoken by Non-native Children -- INTERSPEECH 2021 Shared Task SPAPL System	Jun 18, 2021	Acoustic ModellingAutomatic Speech Recognition	—Unverified
An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition	Jun 18, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Layer Pruning on Demand with Intermediate CTC	Jun 17, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multi-mode Transformer Transducer with Stochastic Future Context	Jun 17, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multi-Speaker ASR Combining Non-Autoregressive Conformer CTC and Conditional Speaker Chain	Jun 16, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Topic Classification on Spoken Documents Using Deep Acoustic and Linguistic Features	Jun 16, 2021	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