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 2501–2510 of 3012 papers

Title	Date	Tasks	Status
Universal Adversarial Perturbations for Speech Recognition Systems	May 9, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Analysis of Deep Clustering as Preprocessing for Automatic Speech Recognition of Sparsely Overlapping Speech	May 9, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding	May 8, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Deep Learning for Audio Signal Processing	Apr 30, 2019	Audio Signal ProcessingAutomatic Speech Recognition	CodeCode Available
Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text	Apr 30, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
English Broadcast News Speech Recognition by Humans and Machines	Apr 30, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adversarial Speaker Adaptation	Apr 29, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Attentive Adversarial Learning for Domain-Invariant Training	Apr 28, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multi-Geometry Spatial Acoustic Modeling for Distant Speech Recognition	Apr 28, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Frequency Domain Multi-channel Acoustic Modeling for Distant Speech Recognition	Apr 28, 2019	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