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 2491–2500 of 3012 papers

Title	Date	Tasks	Status
A comparison of end-to-end models for long-form speech recognition	Nov 6, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Comparison of Label-Synchronous and Frame-Synchronous End-to-End Models for Speech Recognition	May 20, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Comparison of Modeling Units in Sequence-to-Sequence Speech Recognition with the Transformer on Mandarin Chinese	May 16, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Comparison of Speech Data Augmentation Methods Using S3PRL Toolkit	Feb 27, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition	Apr 5, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition	Jun 22, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Comprehensive Study of the Current State-of-the-Art in Nepali Automatic Speech Recognition Systems	Feb 5, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Configurable Multilingual Model is All You Need to Recognize All Languages	Jul 13, 2021	AllAutomatic Speech Recognition	—Unverified
A Conformer Based Acoustic Model for Robust Automatic Speech Recognition	Mar 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Conformer-based ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement and Speech Separation	Nov 18, 2021	Acoustic echo cancellationAutomatic Speech Recognition	—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