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 2371–2380 of 3012 papers

Title	Date	Tasks	Status
Investigation of Error Simulation Techniques for Learning Dialog Policies for Conversational Error Recovery	Nov 8, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debates	Nov 8, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A comparison of end-to-end models for long-form speech recognition	Nov 6, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
RNN-T For Latency Controlled ASR With Improved Beam Search	Nov 5, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
SHARP: An Adaptable, Energy-Efficient Accelerator for Recurrent Neural Network	Nov 4, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Data Augmentation for End-to-End Speech Translation: FBK@IWSLT ‘19	Nov 1, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Entity resolution for noisy ASR transcripts	Nov 1, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Chameleon: A Language Model Adaptation Toolkit for Automatic Speech Recognition of Conversational Speech	Nov 1, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transformer-based Cascaded Multimodal Speech Translation	Oct 29, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Does Speech enhancement of publicly available data help build robust Speech Recognition Systems?	Oct 29, 2019	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