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 1451–1460 of 3012 papers

Title	Date	Tasks	Status
Improving low-resource ASR performance with untranscribed out-of-domain data	Jun 2, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Low Resource Code-switched ASR using Augmented Code-switched TTS	Oct 12, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Low-Resource Speech Recognition with Pretrained Speech Models: Continued Pretraining vs. Semi-Supervised Training	Jul 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Contextual Adapters for Personalized Speech Recognition in Neural Transducers	May 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Investigation of Hybrid architectures for Low Resource Multilingual Speech Recognition system in Indian context	Dec 1, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Enhancing Large Language Model-based Speech Recognition by Contextualization for Rare and Ambiguous Words	Aug 15, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Enhancing Indonesian Automatic Speech Recognition: Evaluating Multilingual Models with Diverse Speech Variabilities	Oct 11, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Massively Multilingual ASR With Auxiliary CTC Objectives	Feb 24, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model	Feb 27, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Catch Me If You Can: Blackbox Adversarial Attacks on Automatic Speech Recognition using Frequency Masking	Dec 3, 2021	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