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 301–310 of 3012 papers

Title	Date	Tasks	Status
An investigation of modularity for noise robustness in conformer-based ASR	Sep 9, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Findings of the 2024 Mandarin Stuttering Event Detection and Automatic Speech Recognition Challenge	Sep 9, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Retrieval Augmented Correction of Named Entity Speech Recognition Errors	Sep 9, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Evaluation of real-time transcriptions using end-to-end ASR models	Sep 9, 2024	Action DetectionActivity Detection	—Unverified
Exploring WavLM Back-ends for Speech Spoofing and Deepfake Detection	Sep 8, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Probing self-attention in self-supervised speech models for cross-linguistic differences	Sep 4, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Quantification of stylistic differences in human- and ASR-produced transcripts of African American English	Sep 4, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
What is lost in Normalization? Exploring Pitfalls in Multilingual ASR Model Evaluations	Sep 4, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Reassessing Noise Augmentation Methods in the Context of Adversarial Speech	Sep 3, 2024	Adversarial RobustnessAutomatic Speech Recognition	—Unverified
VoxHakka: A Dialectally Diverse Multi-speaker Text-to-Speech System for Taiwanese Hakka	Sep 3, 2024	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