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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 281–290 of 3012 papers

Title	Date	Tasks	Status
Ideal-LLM: Integrating Dual Encoders and Language-Adapted LLM for Multilingual Speech-to-Text	Sep 17, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Chain-of-Thought Prompting for Speech Translation	Sep 17, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
SMILE: Speech Meta In-Context Learning for Low-Resource Language Automatic Speech Recognition	Sep 16, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems	Sep 16, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Augmenting Automatic Speech Recognition Models with Disfluency Detection	Sep 16, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition	Sep 15, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASR Error Correction using Large Language Models	Sep 14, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
CPT-Boosted Wav2vec2.0: Towards Noise Robust Speech Recognition for Classroom Environments	Sep 13, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Learnings from curating a trustworthy, well-annotated, and useful dataset of disordered English speech	Sep 13, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Exploring SSL Discrete Tokens for Multilingual ASR	Sep 13, 2024	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