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 2131–2140 of 3012 papers

Title	Date	Tasks	Status
Thank you for Attention: A survey on Attention-based Artificial Neural Networks for Automatic Speech Recognition	Feb 14, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages	May 16, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The 2015 Sheffield System for Transcription of Multi-Genre Broadcast Media	Dec 21, 2015	Acoustic ModellingAutomatic Speech Recognition	—Unverified
The AFRL IWSLT 2018 Systems: What Worked, What Didn’t	Oct 1, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The AFRL IWSLT 2020 Systems: Work-From-Home Edition	Jul 1, 2020	Action DetectionActivity Detection	—Unverified
The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese	Feb 12, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios	Jun 23, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The CUHK-TENCENT speaker diarization system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge	Feb 4, 2022	Action DetectionActivity Detection	—Unverified
The DIRHA Portuguese Corpus: A Comparison of Home Automation Command Detection and Recognition in Simulated and Real Data.	May 1, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR	Mar 31, 2023	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