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 2931–2940 of 3012 papers

Title	Date	Tasks	Status
Spoken Language Translation for Polish	Nov 24, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Blending LSTMs into CNNs	Nov 19, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Enhancements in statistical spoken language translation by de-normalization of ASR results	Nov 18, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Latent Dirichlet Allocation Based Organisation of Broadcast Media Archives for Deep Neural Network Adaptation	Nov 16, 2015	Acoustic ModellingAutomatic Speech Recognition	—Unverified
Towards Structured Deep Neural Network for Automatic Speech Recognition	Nov 8, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
類神經網路訓練結合環境群集及專家混合系統於強健性語音辨識(Automatic Speech Recognition using Neural Network based Acoustic Model with the Environment Clustering and Mixture of Experts Algorithms) [In Chinese]	Oct 1, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Noise Robust IOA/CAS Speech Separation and Recognition System For The Third 'CHIME' Challenge	Sep 21, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The USFD Spoken Language Translation System for IWSLT 2014	Sep 13, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Data-selective Transfer Learning for Multi-Domain Speech Recognition	Sep 8, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Unsupervised Domain Discovery using Latent Dirichlet Allocation for Acoustic Modelling in Speech Recognition	Sep 8, 2015	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