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 2671–2680 of 3012 papers

Title	Date	Tasks	Status
Speaker Adapted Beamforming for Multi-Channel Automatic Speech Recognition	Jun 19, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Extending Recurrent Neural Aligner for Streaming End-to-End Speech Recognition in Mandarin	Jun 17, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Unsupervised Adaptation with Interpretable Disentangled Representations for Distant Conversational Speech Recognition	Jun 13, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Quaternion Recurrent Neural Networks	Jun 12, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Multilingual End-to-End Speech Recognition with A Single Transformer on Low-Resource Languages	Jun 12, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
LSTM Benchmarks for Deep Learning Frameworks	Jun 5, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Binarized LSTM Language Model	Jun 1, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Practical Application of Domain Dependent Confidence Measurement for Spoken Language Understanding Systems	Jun 1, 2018	Automatic Speech Recognition (ASR)Feature Engineering	—Unverified
Role-specific Language Models for Processing Recorded Neuropsychological Exams	Jun 1, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
End-to-end named entity extraction from speech	May 30, 2018	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