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 1911–1920 of 3012 papers

Title	Date	Tasks	Status
Zero-resource Speech Translation and Recognition with LLMs	Dec 24, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Zero-Shot Automatic Pronunciation Assessment	May 31, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Zero-Shot Cross-lingual Aphasia Detection using Automatic Speech Recognition	Apr 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Zero-shot Disfluency Detection for Indian Languages	Oct 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Zero-Shot Joint Modeling of Multiple Spoken-Text-Style Conversion Tasks using Switching Tokens	Jun 23, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Zero-shot Speech Translation	Jul 13, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Zero Shot Text to Speech Augmentation for Automatic Speech Recognition on Low-Resource Accented Speech Corpora	Sep 17, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Zipformer: A faster and better encoder for automatic speech recognition	Oct 17, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Zipper: A Multi-Tower Decoder Architecture for Fusing Modalities	May 29, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
100,000 Podcasts: A Spoken English Document Corpus	Dec 1, 2020	3D Facial Landmark LocalizationAutomatic Speech Recognition	—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