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 951–960 of 3012 papers

Title	Date	Tasks	Status	Hype
BASPRO: a balanced script producer for speech corpus collection based on the genetic algorithm	Dec 11, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
End-to-End Speech Translation of Arabic to English Broadcast News	Dec 11, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Improved Self-Supervised Multilingual Speech Representation Learning Combined with Auxiliary Language Information	Dec 7, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Progressive Multi-Scale Self-Supervised Learning for Speech Recognition	Dec 7, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Improved Speech Pre-Training with Supervision-Enhanced Acoustic Unit	Dec 7, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Lattice-Free Sequence Discriminative Training for Phoneme-Based Neural Transducers	Dec 7, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft Pseudo-Labels	Dec 5, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Unsupervised Fine-Tuning Data Selection for ASR Using Self-Supervised Speech Models	Dec 3, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Continual Learning for On-Device Speech Recognition using Disentangled Conformers	Dec 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition	Dec 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0

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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