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 2091–2100 of 3012 papers

Title	Date	Tasks	Status
Improved Mask-CTC for Non-Autoregressive End-to-End ASR	Oct 26, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Two-stage Textual Knowledge Distillation for End-to-End Spoken Language Understanding	Oct 25, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task Learning	Oct 25, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Improving Noise Robustness of an End-to-End Neural Model for Automatic Speech Recognition	Oct 23, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
How Phonotactics Affect Multilingual and Zero-shot ASR Performance	Oct 22, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation	Oct 22, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
SlimIPL: Language-Model-Free Iterative Pseudo-Labeling	Oct 22, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Rethinking Evaluation in ASR: Are Our Models Robust Enough?	Oct 22, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data	Oct 22, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Sentence Boundary Augmentation For Neural Machine Translation Robustness	Oct 21, 2020	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