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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1761–1770 of 3012 papers

Title	Date	Tasks	Status	Hype
Assessing the Use of Prosody in Constituency Parsing of Imperfect Transcripts	Jun 14, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
SynthASR: Unlocking Synthetic Data for Speech Recognition	Jun 14, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Cross-utterance Reranking Models with BERT and Graph Convolutional Networks for Conversational Speech Recognition	Jun 13, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Incorporating External POS Tagger for Punctuation Restoration	Jun 12, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Leveraging Pre-trained Language Model for Speech Sentiment Analysis	Jun 11, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Improving RNN-T ASR Performance with Date-Time and Location Awareness	Jun 11, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
TASK AWARE MULTI-TASK LEARNING FOR SPEECH TO TEXT TASKS	Jun 10, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition	Jun 10, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Unsupervised Automatic Speech Recognition: A Review	Jun 9, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
A Comparative Study on Neural Architectures and Training Methods for Japanese Speech Recognition	Jun 9, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0

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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