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 721–730 of 3012 papers

Title	Date	Tasks	Status
Boosting Punctuation Restoration with Data Generation and Reinforcement Learning	Jul 24, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A meta learning scheme for fast accent domain expansion in Mandarin speech recognition	Jul 23, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation	Jul 23, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Prompting Large Language Models with Speech Recognition Abilities	Jul 21, 2023	Abstractive Text SummarizationAutomatic Speech Recognition	—Unverified
A Change of Heart: Improving Speech Emotion Recognition through Speech-to-Text Modality Conversion	Jul 21, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
A Deep Dive into the Disparity of Word Error Rates Across Thousands of NPTEL MOOC Videos	Jul 20, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Model Adaptation for ASR in low-resource Indian Languages	Jul 16, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Replay to Remember: Continual Layer-Specific Fine-tuning for German Speech Recognition	Jul 14, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Representation Learning With Hidden Unit Clustering For Low Resource Speech Applications	Jul 14, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study	Jul 13, 2023	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