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 1521–1530 of 3012 papers

Title	Date	Tasks	Status
On Spoken Language Understanding Systems for Low Resourced Languages	Nov 16, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Attention-based Multi-hypothesis Fusion for Speech Summarization	Nov 16, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Attention based end to end Speech Recognition for Voice Search in Hindi and English	Nov 15, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Prediction of Listener Perception of Argumentative Speech in a Crowdsourced Dataset Using (Psycho-)Linguistic and Fluency Features	Nov 13, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Self-Normalized Importance Sampling for Neural Language Modeling	Nov 11, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Scaling ASR Improves Zero and Few Shot Learning	Nov 10, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Privacy attacks for automatic speech recognition acoustic models in a federated learning framework	Nov 6, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Sequential Randomized Smoothing for Adversarially Robust Speech Recognition	Nov 5, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Context-Aware Transformer Transducer for Speech Recognition	Nov 5, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Effective Cross-Utterance Language Modeling for Conversational Speech Recognition	Nov 5, 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