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 711–720 of 3012 papers

Title	Date	Tasks	Status
A Corpus and Phonetic Dictionary for Tunisian Arabic Speech Recognition	May 1, 2014	Arabic Speech RecognitionAutomatic Speech Recognition	—Unverified
Connecting Speech Encoder and Large Language Model for ASR	Sep 25, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Consistency Based Unsupervised Self-training For ASR Personalisation	Jan 22, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Causal Structure Discovery for Error Diagnostics of Children's ASR	May 31, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual Data	Apr 8, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Constrained Variational Autoencoder for improving EEG based Speech Recognition Systems	Jun 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Construction of a Large-scale Japanese ASR Corpus on TV Recordings	Mar 26, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Content-Aware Speaker Embeddings for Speaker Diarisation	Feb 12, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Context-aware Fine-tuning of Self-supervised Speech Models	Dec 16, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Causal Analysis of ASR Errors for Children: Quantifying the Impact of Physiological, Cognitive, and Extrinsic Factors	Feb 12, 2025	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