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 321–330 of 3012 papers

Title	Date	Tasks	Status
Self-supervised Speech Representations Still Struggle with African American Vernacular English	Aug 26, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues	Aug 26, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Focused Discriminative Training For Streaming CTC-Trained Automatic Speech Recognition Models	Aug 23, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The State of Commercial Automatic French Legal Speech Recognition Systems and their Impact on Court Reporters et al	Aug 21, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition	Aug 19, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Recording for Eyes, Not Echoing to Ears: Contextualized Spoken-to-Written Conversion of ASR Transcripts	Aug 19, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Enhancing Large Language Model-based Speech Recognition by Contextualization for Rare and Ambiguous Words	Aug 15, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Style-Talker: Finetuning Audio Language Model and Style-Based Text-to-Speech Model for Fast Spoken Dialogue Generation	Aug 13, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Enhancing Dialogue Speech Recognition with Robust Contextual Awareness via Noise Representation Learning	Aug 12, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance	Aug 12, 2024	Acoustic Scene ClassificationAutomatic Speech Recognition	—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