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 1711–1720 of 3012 papers

Title	Date	Tasks	Status
Towards Quantum Language Models	Sep 1, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Representative Subset Selection for Efficient Fine-Tuning in Self-Supervised Speech Recognition	Mar 18, 2022	Active LearningAutomatic Speech Recognition	—Unverified
Towards Selection of Text-to-speech Data to Augment ASR Training	May 30, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Towards speech-to-text translation without speech recognition	Feb 13, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Towards Stream Translation: Adaptive Computation Time for Simultaneous Machine Translation	Jul 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Towards Structured Deep Neural Network for Automatic Speech Recognition	Jun 3, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Towards Structured Deep Neural Network for Automatic Speech Recognition	Nov 8, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Towards the Universal Defense for Query-Based Audio Adversarial Attacks	Apr 20, 2023	Audio FingerprintAutomatic Speech Recognition	—Unverified
Unified model for code-switching speech recognition and language identification based on a concatenated tokenizer	Jun 14, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Toward Streaming ASR with Non-Autoregressive Insertion-based Model	Dec 18, 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