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 1071–1080 of 3012 papers

Title	Date	Tasks	Status
Visual Information Matters for ASR Error Correction	Mar 16, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
HYBRIDFORMER: improving SqueezeFormer with hybrid attention and NSR mechanism	Mar 15, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Cascading and Direct Approaches to Unsupervised Constituency Parsing on Spoken Sentences	Mar 15, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Improving Accented Speech Recognition with Multi-Domain Training	Mar 14, 2023	Accented Speech RecognitionAutomatic Speech Recognition	—Unverified
Fine-tuning Strategies for Faster Inference using Speech Self-Supervised Models: A Comparative Study	Mar 12, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Transcription free filler word detection with Neural semi-CRFs	Mar 11, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
MIXPGD: Hybrid Adversarial Training for Speech Recognition Systems	Mar 10, 2023	Adversarial AttackAutomatic Speech Recognition	—Unverified
Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings	Mar 10, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
wav2vec and its current potential to Automatic Speech Recognition in German for the usage in Digital History: A comparative assessment of available ASR-technologies for the use in cultural heritage contexts	Mar 6, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
End-to-End Speech Recognition: A Survey	Mar 3, 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