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 1851–1860 of 3012 papers

Title	Date	Tasks	Status
Leveraging Pre-trained Language Model for Speech Sentiment Analysis	Jun 11, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving RNN-T ASR Performance with Date-Time and Location Awareness	Jun 11, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
TASK AWARE MULTI-TASK LEARNING FOR SPEECH TO TEXT TASKS	Jun 10, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition	Jun 10, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Comparative Study on Neural Architectures and Training Methods for Japanese Speech Recognition	Jun 9, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Unsupervised Automatic Speech Recognition: A Review	Jun 9, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Sequential End-to-End Intent and Slot Label Classification and Localization	Jun 8, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Data Augmentation Methods for End-to-end Speech Recognition on Distant-Talk Scenarios	Jun 7, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Human Listening and Live Captioning: Multi-Task Training for Speech Enhancement	Jun 5, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Do You Listen with One or Two Microphones? A Unified ASR Model for Single and Multi-Channel Audio	Jun 4, 2021	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