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 831–840 of 3012 papers

Title	Date	Tasks	Status
Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations	May 14, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Investigating the Sensitivity of Automatic Speech Recognition Systems to Phonetic Variation in L2 Englishes	May 12, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Masked Audio Text Encoders are Effective Multi-Modal Rescorers	May 11, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Quran Recitation Recognition using End-to-End Deep Learning	May 10, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Exploration of Language Dependency for Japanese Self-Supervised Speech Representation Models	May 9, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Who Needs Decoders? Efficient Estimation of Sequence-level Attributes	May 9, 2023	AttributeAutomatic Speech Recognition	—Unverified
Multi-Temporal Lip-Audio Memory for Visual Speech Recognition	May 8, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural Transducers	May 7, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Hybrid Transducer and Attention based Encoder-Decoder Modeling for Speech-to-Text Tasks	May 4, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Employing Hybrid Deep Neural Networks on Dari Speech	May 4, 2023	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