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 2441–2450 of 3012 papers

Title	Date	Tasks	Status
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions	May 7, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Roadmap towards Superhuman Speech Understanding using Large Language Models	Oct 17, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ROAR: Reinforcing Original to Augmented Data Ratio Dynamics for Wav2Vec2.0 Based ASR	Jun 14, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Robust ASR Error Correction with Conservative Data Filtering	Jul 18, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training	Jul 24, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Robust fine-tuning of speech recognition models via model merging: application to disordered speech	May 26, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Robustifying automatic speech recognition by extracting slowly varying features	Dec 14, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Robust Multi-channel Speech Recognition using Frequency Aligned Network	Feb 6, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Robustness of end-to-end Automatic Speech Recognition Models -- A Case Study using Mozilla DeepSpeech	May 8, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Robustness of end-to-end Automatic Speech Recognition Models – A Case Study using Mozilla DeepSpeech	Sep 1, 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