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 1581–1590 of 3012 papers

Title	Date	Tasks	Status
Multi-mode Transformer Transducer with Stochastic Future Context	Jun 17, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multiple-hypothesis CTC-based semi-supervised adaptation of end-to-end speech recognition	Mar 29, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multiple-hypothesis RNN-T Loss for Unsupervised Fine-tuning and Self-training of Neural Transducer	Jul 29, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multiple Representation Transfer from Large Language Models to End-to-End ASR Systems	Sep 7, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multiple topic identification in human/human conversations	Dec 18, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech	May 2, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multiresolution and Multimodal Speech Recognition with Transformers	Apr 29, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multi-resolution location-based training for multi-channel continuous speech separation	Jan 16, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Alternate Intermediate Conditioning with Syllable-level and Character-level Targets for Japanese ASR	Apr 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multi-Span Acoustic Modelling using Raw Waveform Signals	Jun 21, 2019	Acoustic ModellingAutomatic 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