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 631–640 of 3012 papers

Title	Date	Tasks	Status
Challenges of Applying Automatic Speech Recognition for Transcribing EU Parliament Committee Meetings: A Pilot Study	May 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Corpus for Modeling Word Importance in Spoken Dialogue Transcripts	Jan 29, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition	Aug 21, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
100,000 Podcasts: A Spoken English Document Corpus	Dec 1, 2020	3D Facial Landmark LocalizationAutomatic Speech Recognition	—Unverified
Collaborative Data Relabeling for Robust and Diverse Voice Apps Recommendation in Intelligent Personal Assistants	Nov 1, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Combining Human Inputters and Language Services to provide Multi-language support system for International Symposiums	Dec 1, 2016	Automatic Speech Recognition (ASR)Machine Translation	—Unverified
CommonAccent: Exploring Large Acoustic Pretrained Models for Accent Classification Based on Common Voice	May 29, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Challenges in Speech Recognition and Translation of High-Value Low-Density Polysynthetic Languages	Mar 1, 2018	Automatic Speech Recognition (ASR)Machine Translation	—Unverified
Challenges and Opportunities of Speech Recognition for Bengali Language	Sep 27, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Challenges and Opportunities in Multi-device Speech Processing	Jun 27, 2022	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