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 641–650 of 3012 papers

Title	Date	Tasks	Status
Automatic Speech Recognition for Uyghur through Multilingual Acoustic Modeling	May 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Analyzing Utility of Visual Context in Multimodal Speech Recognition Under Noisy Conditions	Jun 30, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adapting Whisper for Regional Dialects: Enhancing Public Services for Vulnerable Populations in the United Kingdom	Jan 15, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Automatic Speech Recognition for the Ika Language	Oct 1, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer	Jun 2, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Automatic Speech Recognition for Non-Native English: Accuracy and Disfluency Handling	Mar 10, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Analyzing the Performance of Automatic Speech Recognition for Ageing Voice: Does it Correlate with Dependency Level?	Aug 1, 2013	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adapting Whisper for Code-Switching through Encoding Refining and Language-Aware Decoding	Dec 21, 2024	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
使用字典學習法於強健性語音辨識(The Use of Dictionary Learning Approach for Robustness Speech Recognition) [In Chinese]	Oct 1, 2016	Automatic Speech Recognition (ASR)Dictionary Learning	—Unverified

Show:10 25 50

← PrevPage 65 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