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 1911–1920 of 3012 papers

Title	Date	Tasks	Status
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures	Apr 12, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
NeMo Inverse Text Normalization: From Development To Production	Apr 11, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Innovative Bert-based Reranking Language Models for Speech Recognition	Apr 11, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Non-autoregressive Transformer-based End-to-end ASR using BERT	Apr 10, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
On Architectures and Training for Raw Waveform Feature Extraction in ASR	Apr 9, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Accented Speech Recognition Inspired by Human Perception	Apr 9, 2021	Accented Speech RecognitionAutomatic Speech Recognition	—Unverified
WNARS: WFST based Non-autoregressive Streaming End-to-End Speech Recognition	Apr 8, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
BSTC: A Large-Scale Chinese-English Speech Translation Dataset	Apr 8, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Exploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation	Apr 8, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems	Apr 8, 2021	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