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 561–570 of 3012 papers

Title	Date	Tasks	Status
Ain't Misbehavin' -- Using LLMs to Generate Expressive Robot Behavior in Conversations with the Tabletop Robot Haru	Feb 18, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages	Nov 7, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Accurate and Structured Pruning for Efficient Automatic Speech Recognition	May 31, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Study of All-Convolutional Encoders for Connectionist Temporal Classification	Oct 28, 2017	AllAutomatic Speech Recognition	—Unverified
A Study into Pre-training Strategies for Spoken Language Understanding on Dysarthric Speech	Jun 15, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Acoustic-Phonetic Approach for ASR of Less Resourced Languages Using Monolingual and Cross-Lingual Information	May 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASTRA: Aligning Speech and Text Representations for Asr without Sampling	Jun 10, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASTER: Automatic Speech Recognition System Accessibility Testing for Stutterers	Aug 30, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Accent-Robust Automatic Speech Recognition Using Supervised and Unsupervised Wav2vec Embeddings	Oct 7, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition	Jul 10, 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