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 921–930 of 3012 papers

Title	Date	Tasks	Status
Discriminative training of RNNLMs with the average word error criterion	Nov 6, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Disentangled-Transformer: An Explainable End-to-End Automatic Speech Recognition Model with Speech Content-Context Separation	Nov 26, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Disentangleing Content and Fine-grained Prosody Information via Hybrid ASR Bottleneck Features for Voice Conversion	Mar 24, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Disentangling Prosody Representations with Unsupervised Speech Reconstruction	Dec 14, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Disfluency Detection with Unlabeled Data and Small BERT Models	Apr 21, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
DisfluencyFixer: A tool to enhance Language Learning through Speech To Speech Disfluency Correction	May 26, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Dissecting User-Perceived Latency of On-Device E2E Speech Recognition	Apr 6, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition	May 29, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Recorded Debating Dataset	Sep 19, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Can We Train a Language Model Inside an End-to-End ASR Model? - Investigating Effective Implicit Language Modeling	Oct 1, 2022	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