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 1791–1800 of 3012 papers

Title	Date	Tasks	Status
Promptformer: Prompted Conformer Transducer for ASR	Jan 14, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Prompting Large Language Models with Speech Recognition Abilities	Jul 21, 2023	Abstractive Text SummarizationAutomatic Speech Recognition	—Unverified
Prompting Whisper for Improved Verbatim Transcription and End-to-end Miscue Detection	May 29, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Pronunciation-aware unique character encoding for RNN Transducer-based Mandarin speech recognition	Jul 29, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Pronunciation Dictionary-Free Multilingual Speech Synthesis by Combining Unsupervised and Supervised Phonetic Representations	Jun 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Pronunciation Modeling of Foreign Words for Mandarin ASR by Considering the Effect of Language Transfer	Oct 7, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Pronunciation Variants and ASR of Colloquial Speech: A Case Study on Czech	May 1, 2018	Automatic Speech Recognition (ASR)Speech Recognition	—Unverified
Pseudo Label Is Better Than Human Label	Mar 22, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
PSRB: A Comprehensive Benchmark for Evaluating Persian ASR Systems	May 27, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings?	Apr 13, 2020	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