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

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Showing 481–490 of 3012 papers

Title	Date	Tasks	Status
Automatic Spoken Language Identification using a Time-Delay Neural Network	May 19, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Automatic Syllabification for Manipuri language	Dec 1, 2016	Automatic Speech Recognition (ASR)Segmentation	—Unverified
Automatic Transcription Challenges for Inuktitut, a Low-Resource Polysynthetic Language	May 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Automatic Viseme Vocabulary Construction to Enhance Continuous Lip-reading	Apr 26, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Automating speech reception threshold measurements using automatic speech recognition	Aug 1, 2013	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Auxiliary Interference Speaker Loss for Target-Speaker Speech Recognition	Jun 26, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Auxiliary Multimodal LSTM for Audio-visual Speech Recognition and Lipreading	Jan 16, 2017	Audio-Visual Speech RecognitionAutomatic Speech Recognition	—Unverified
Attention Enhanced Citrinet for Speech Recognition	Sep 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
AVATAR: Robust Voice Search Engine Leveraging Autoregressive Document Retrieval and Contrastive Learning	Sep 4, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework	Jul 4, 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