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 351–360 of 3012 papers

Title	Date	Tasks	Status
Attention based on-device streaming speech recognition with large speech corpus	Jan 2, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Attention-based Wav2Text with Feature Transfer Learning	Sep 22, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A two-step approach to leverage contextual data: speech recognition in air-traffic communications	Feb 8, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Analysis of Phonetic Transcription for Danish Automatic Speech Recognition	May 1, 2013	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Analysis of Multilingual Sequence-to-Sequence speech recognition systems	Nov 7, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition	Jul 29, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Analysis of Manipuri Tones in ManiTo: A Tonal Contrast Database	Dec 1, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Analysis of Semantically-Aligned Speech-Text Embeddings	Apr 4, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio	Jul 6, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Analysis of GlobalPhone and Ethiopian Languages Speech Corpora for Multilingual ASR	May 1, 2020	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