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 681–690 of 3012 papers

Title	Date	Tasks	Status
Enhancing CTC-based speech recognition with diverse modeling units	Jun 5, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition	Jun 5, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping	Jun 4, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Keyword-Guided Adaptation of Automatic Speech Recognition	Jun 4, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Enabling ASR for Low-Resource Languages: A Comprehensive Dataset Creation Approach	Jun 3, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Wav2Prompt: End-to-End Speech Prompt Generation and Tuning For LLM in Zero and Few-shot Learning	Jun 1, 2024	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
Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation	May 28, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition	May 24, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding	May 23, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available

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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