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 511–520 of 3012 papers

Title	Date	Tasks	Status	Hype
The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese	Feb 12, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation	Feb 8, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	2
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition	Feb 8, 2024	Audio-Visual Speech RecognitionAutomatic Speech Recognition	CodeCode Available	1
Progressive unsupervised domain adaptation for ASR using ensemble models and multi-stage training	Feb 7, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR	Feb 6, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Resolving Transcription Ambiguity in Spanish: A Hybrid Acoustic-Lexical System for Punctuation Restoration	Feb 5, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
A Comprehensive Study of the Current State-of-the-Art in Nepali Automatic Speech Recognition Systems	Feb 5, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens	Feb 3, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Digits micro-model for accurate and secure transactions	Feb 2, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Whispering in Norwegian: Navigating Orthographic and Dialectic Challenges	Feb 2, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0

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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