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 2751–2760 of 3012 papers

Title	Date	Tasks	Status
A Text Normalisation System for Non-Standard English Words	Sep 1, 2017	Automatic Speech Recognition (ASR)Speech Recognition	—Unverified
A Text-to-Speech Pipeline, Evaluation Methodology, and Initial Fine-Tuning Results for Child Speech Synthesis	Mar 22, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Transfer Learning Method for Speech Emotion Recognition from Automatic Speech Recognition	Aug 6, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems	Mar 10, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Attention-based ASR with Lightweight and Dynamic Convolutions	Feb 20, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Attention based end to end Speech Recognition for Voice Search in Hindi and English	Nov 15, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Attention based on-device streaming speech recognition with large speech corpus	Jan 2, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Attention-based Wav2Text with Feature Transfer Learning	Sep 22, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Attention Enhanced Citrinet for Speech Recognition	Sep 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Attentive Adversarial Learning for Domain-Invariant Training	Apr 28, 2019	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