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 1781–1790 of 3012 papers

Title	Date	Tasks	Status
Understanding Semantics from Speech Through Pre-training	Sep 24, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Understanding Shared Speech-Text Representations	Apr 27, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Understanding the Role of Self Attention for Efficient Speech Recognition	Sep 29, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Understanding Zero-shot Rare Word Recognition Improvements Through LLM Integration	Feb 22, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Unified Autoregressive Modeling for Joint End-to-End Multi-Talker Overlapped Speech Recognition and Speaker Attribute Estimation	Jul 4, 2021	Age EstimationAttribute	—Unverified
Unified End-to-End Speech Recognition and Endpointing for Fast and Efficient Speech Systems	Nov 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Unified Modeling of Multi-Domain Multi-Device ASR Systems	May 13, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Unified Modeling of Multi-Talker Overlapped Speech Recognition and Diarization with a Sidecar Separator	May 25, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Unifying Streaming and Non-streaming Zipformer-based ASR	Jun 17, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Unintended Memorization in Large ASR Models, and How to Mitigate It	Oct 18, 2023	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