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 2001–2010 of 3012 papers

Title	Date	Tasks	Status
Speaker conditioned acoustic modeling for multi-speaker conversational ASR	Apr 5, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Speaker Diarization with Lexical Information	Apr 13, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Speaker-Independent Speech-Driven Visual Speech Synthesis using Domain-Adapted Acoustic Models	May 15, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Speaker Reinforcement Using Target Source Extraction for Robust Automatic Speech Recognition	May 9, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Speaker Selective Beamformer with Keyword Mask Estimation	Oct 25, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Speaker Tagging Correction With Non-Autoregressive Language Models	Aug 30, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Speak & Improve Challenge 2025: Tasks and Baseline Systems	Dec 16, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and Feedback	Dec 16, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
SpecAugment on Large Scale Datasets	Dec 11, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Spectral Modification Based Data Augmentation For Improving End-to-End ASR For Children's Speech	Mar 13, 2022	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