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 1111–1120 of 3012 papers

Title	Date	Tasks	Status
A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition	Jan 22, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Annotated Speech Corpus for Low Resource Indian Languages: Awadhi, Bhojpuri, Braj and Magahi	Jun 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Error Correction in ASR using Sequence-to-Sequence Models	Feb 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Boosting Code-Switching ASR with Mixture of Experts Enhanced Speech-Conditioned LLM	Sep 24, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning	Apr 16, 2025	Arabic Speech RecognitionAutomatic Speech Recognition	—Unverified
A Bilingual Interactive Human Avatar Dialogue System	Jul 1, 2018	Answer SelectionAutomatic Speech Recognition (ASR)	—Unverified
Improving sequence-to-sequence speech recognition training with on-the-fly data augmentation	Oct 29, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Evaluating Automatic Speech Recognition Systems in Comparison With Human Perception Results Using Distinctive Feature Measures	Dec 13, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Error Correction by Paying Attention to Both Acoustic and Confidence References for Automatic Speech Recognition	Jun 29, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs	Dec 12, 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