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 1171–1180 of 3012 papers

Title	Date	Tasks	Status
A Semantic Analyzer for the Comprehension of the Spontaneous Arabic Speech	Oct 8, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement	Mar 31, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Characterizing Audio Adversarial Examples Using Temporal Dependency	Sep 28, 2018	Adversarial DefenseAutomatic Speech Recognition	—Unverified
A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding	Oct 1, 2018	Automatic Speech Recognition (ASR)Intent Detection	—Unverified
Chameleon: A Language Model Adaptation Toolkit for Automatic Speech Recognition of Conversational Speech	Nov 1, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Challenges of Computational Processing of Code-Switching	Oct 7, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Challenges of Applying Automatic Speech Recognition for Transcribing EU Parliament Committee Meetings: A Pilot Study	May 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
AS-70: A Mandarin stuttered speech dataset for automatic speech recognition and stuttering event detection	Jun 11, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Affect Recognition in Conversations Using Large Language Models	Sep 22, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Corpus for Modeling Word Importance in Spoken Dialogue Transcripts	Jan 29, 2018	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