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 1571–1580 of 3012 papers

Title	Date	Tasks	Status
An Incremental Algorithm for Transition-based CCG Parsing	May 1, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Integrated Algorithm for Robust and Imperceptible Audio Adversarial Examples	Oct 5, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition	Dec 6, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models	Sep 14, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Investigation of Enhancing CTC Model for Triggered Attention-based Streaming ASR	Oct 20, 2021	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
An investigation of modularity for noise robustness in conformer-based ASR	Sep 9, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Investigation of Monotonic Transducers for Large-Scale Automatic Speech Recognition	Apr 19, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Investigation on Applying Acoustic Feature Conversion to ASR of Adult and Child Speech	May 25, 2022	AttributeAutomatic Speech Recognition	—Unverified
An Investigative Study of Multi-Modal Cross-Lingual Retrieval	May 1, 2020	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