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 1061–1070 of 3012 papers

Title	Date	Tasks	Status
Constrained Variational Autoencoder for improving EEG based Speech Recognition Systems	Jun 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual Data	Apr 8, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Study into Pre-training Strategies for Spoken Language Understanding on Dysarthric Speech	Jun 15, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Consistency Based Unsupervised Self-training For ASR Personalisation	Jan 22, 2024	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
Connecting Speech Encoder and Large Language Model for ASR	Sep 25, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Connecting Humanities and Social Sciences: Applying Language and Speech Technology to Online Panel Surveys	Feb 21, 2023	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
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
Confusion2Vec: Towards Enriching Vector Space Word Representations with Representational Ambiguities	Nov 8, 2018	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