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 1751–1760 of 3012 papers

Title	Date	Tasks	Status
Transformer ASR with Contextual Block Processing	Oct 16, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transformer-based ASR Incorporating Time-reduction Layer and Fine-tuning with Self-Knowledge Distillation	Mar 17, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transformer-based Automatic Speech Recognition of Formal and Colloquial Czech in MALACH Project	Jun 15, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transformer-based Model for ASR N-Best Rescoring and Rewriting	Jun 12, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transformer-based Online CTC/attention End-to-End Speech Recognition Architecture	Jan 15, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transformer-based Streaming ASR with Cumulative Attention	Mar 11, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transformer-Based Video Front-Ends for Audio-Visual Speech Recognition for Single and Multi-Person Video	Jan 25, 2022	Audio-Visual Speech RecognitionAutomatic Speech Recognition	—Unverified
Transformer-Transducers for Code-Switched Speech Recognition	Nov 30, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transformer with Bidirectional Decoder for Speech Recognition	Aug 11, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering	Nov 22, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

Show:10 25 50

← PrevPage 176 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