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 2941–2950 of 3012 papers

Title	Date	Tasks	Status
Enhancement and Recognition of Reverberant and Noisy Speech by Extending Its Coherence	Sep 2, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding	Jul 29, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Neural NILM: Deep Neural Networks Applied to Energy Disaggregation	Jul 23, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Incremental LSTM-based Dialog State Tracker	Jul 13, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Driving ROVER with Segment-based ASR Quality Estimation	Jul 1, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Nonparametric Bayesian Double Articulation Analyzer for Direct Language Acquisition from Continuous Speech Signals	Jun 22, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Recognize Foreign Low-Frequency Words with Similar Pairs	Jun 16, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Hybridized Feature Extraction and Acoustic Modelling Approach for Dysarthric Speech Recognition	Jun 6, 2015	Acoustic ModellingAutomatic Speech Recognition	—Unverified
Towards Structured Deep Neural Network for Automatic Speech Recognition	Jun 3, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Recurrent Neural Network Training with Dark Knowledge Transfer	May 18, 2015	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