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 1251–1260 of 3012 papers

Title	Date	Tasks	Status
Comparison of Soft and Hard Target RNN-T Distillation for Large-scale ASR	Oct 11, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Scaling Up Deliberation for Multilingual ASR	Oct 11, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Streaming Punctuation for Long-form Dictation with Transformers	Oct 11, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition	Oct 11, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training	Oct 7, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Pronunciation Modeling of Foreign Words for Mandarin ASR by Considering the Effect of Language Transfer	Oct 7, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Cloud-based Automatic Speech Recognition Systems for Southeast Asian Languages	Oct 7, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Damage Control During Domain Adaptation for Transducer Based Automatic Speech Recognition	Oct 6, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Efficient acoustic feature transformation in mismatched environments using a Guided-GAN	Oct 3, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Code-switched ASR with Linguistic Information	Oct 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

Show:10 25 50

← PrevPage 126 of 302Next →

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