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 2421–2430 of 3012 papers

Title	Date	Tasks	Status
Breaking the Data Barrier: Towards Robust Speech Translation via Adversarial Stability Training	Sep 25, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Understanding Semantics from Speech Through Pre-training	Sep 24, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving OOV Detection and Resolution with External Language Models in Acoustic-to-Word ASR	Sep 22, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences	Sep 18, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Simultaneous Speech Recognition and Speaker Diarization for Monaural Dialogue Recordings with Target-Speaker Acoustic Models	Sep 17, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
NeMo: a toolkit for building AI applications using Neural Modules	Sep 14, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models	Sep 14, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Integrating Source-channel and Attention-based Sequence-to-sequence Models for Speech Recognition	Sep 14, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade	Sep 14, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Comparative Study on Transformer vs RNN in Speech Applications	Sep 13, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available

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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