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 1011–1020 of 3012 papers

Title	Date	Tasks	Status
A Language Agnostic Multilingual Streaming On-Device ASR System	Aug 29, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Efficient Sequence Training of Attention Models using Approximative Recombination	Oct 18, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Efficient Utilization of Large Pre-Trained Models for Low Resource ASR	Oct 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ELAICHI: Enhancing Low-resource TTS by Addressing Infrequent and Low-frequency Character Bigrams	Oct 23, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ELITR: European Live Translator	Nov 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
El-WOZ: a client-server wizard-of-oz interface	May 1, 2014	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Contextual-Utterance Training for Automatic Speech Recognition	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Emotion recognition by fusing time synchronous and time asynchronous representations	Oct 27, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Contextual Speech Recognition with Difficult Negative Training Examples	Oct 29, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Survey of Multilingual Models for Automatic Speech Recognition	Feb 25, 2022	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