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 251–260 of 3012 papers

Title	Date	Tasks	Status	Hype
End-to-End Speech Recognition and Disfluency Removal	Sep 22, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
KoSpeech: Open-Source Toolkit for End-to-End Korean Speech Recognition	Sep 7, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Sum-Product Networks for Robust Automatic Speaker Identification	Aug 13, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Investigation of End-To-End Speaker-Attributed ASR for Continuous Multi-Talker Recordings	Aug 11, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Distilling the Knowledge of BERT for Sequence-to-Sequence ASR	Aug 9, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Word Error Rate Estimation Without ASR Output: e-WER2	Aug 8, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Pretraining Techniques for Sequence-to-Sequence Voice Conversion	Aug 7, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Automatic Speech Recognition Benchmark for Air-Traffic Communications	Jun 18, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos	Jun 16, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Learning to Count Words in Fluent Speech enables Online Speech Recognition	Jun 8, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1

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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