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 1951–1960 of 3012 papers

Title	Date	Tasks	Status
Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition	Jul 2, 2019	2kAutomatic Speech Recognition	—Unverified
Lattention: Lattice-attention in ASR rescoring	Nov 19, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Lattice-based Improvements for Voice Triggering Using Graph Neural Networks	Jan 25, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Lattice-Free Sequence Discriminative Training for Phoneme-Based Neural Transducers	Dec 7, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Lattice Rescoring Based on Large Ensemble of Complementary Neural Language Models	Dec 20, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Lattice Transformer for Speech Translation	Jun 13, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Layer Pruning on Demand with Intermediate CTC	Jun 17, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition	Oct 16, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Learned Transferable Architectures Can Surpass Hand-Designed Architectures for Large Scale Speech Recognition	Aug 25, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
LearnerVoice: A Dataset of Non-Native English Learners' Spontaneous Speech	Jul 5, 2024	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