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 2781–2790 of 3012 papers

Title	Date	Tasks	Status
Big model only for hard audios: Sample dependent Whisper model selection for efficient inferences	Sep 22, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Latent Tree Language Model	Nov 1, 2016	Automatic Speech Recognition (ASR)Language Modeling	CodeCode Available
Adversarial Training For Low-Resource Disfluency Correction	Jun 10, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature Extractors	Nov 27, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
A Comparison of Adaptation Techniques and Recurrent Neural Network Architectures	Jul 12, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Submodular Rank Aggregation on Score-based Permutations for Distributed Automatic Speech Recognition	Jan 27, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
The Sequence-to-Sequence Baseline for the Voice Conversion Challenge 2020: Cascading ASR and TTS	Oct 6, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Transformer Based Punctuation Restoration for Turkish	Sep 15, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Improving Voice Separation by Incorporating End-to-end Speech Recognition	Nov 29, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation	Sep 13, 2021	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