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 2461–2470 of 3012 papers

Title	Date	Tasks	Status
A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition	Jul 10, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Teach an all-rounder with experts in different domains	Jul 9, 2019	AllAutomatic Speech Recognition	—Unverified
Joint Speech Recognition and Speaker Diarization via Sequence Transduction	Jul 9, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech Recognition	Jul 9, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning	Jul 8, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improved low-resource Somali speech recognition by semi-supervised acoustic and language model training	Jul 6, 2019	Acoustic ModellingAutomatic Speech Recognition	—Unverified
End-to-End Speech Recognition with High-Frame-Rate Features Extraction	Jul 3, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Kite: Automatic speech recognition for unmanned aerial vehicles	Jul 2, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Scalable Multi Corpora Neural Language Models for ASR	Jul 2, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition	Jul 2, 2019	2kAutomatic Speech Recognition	—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