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 2561–2570 of 3012 papers

Title	Date	Tasks	Status
Adversarial Joint Training with Self-Attention Mechanism for Robust End-to-End Speech Recognition	Apr 3, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition	Dec 22, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adversarial Speaker Adaptation	Apr 29, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation Based Voice Conversion	May 16, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adversarial synthesis based data-augmentation for code-switched spoken language identification	May 30, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adversarial Training for Multilingual Acoustic Modeling	Jun 17, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adversarial Training of End-to-end Speech Recognition Using a Criticizing Language Model	Nov 2, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Advocating Character Error Rate for Multilingual ASR Evaluation	Oct 9, 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 Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding	Nov 4, 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