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 1921–1930 of 3012 papers

Title	Date	Tasks	Status
Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations	May 14, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Self-supervised reinforcement learning for speaker localisation with the iCub humanoid robot	Nov 12, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Self-supervised representations in speech-based depression detection	May 20, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text	Apr 30, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Self-Supervised Speech Representation Learning: A Review	May 21, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
SELMA: A Speech-Enabled Language Model for Virtual Assistant Interactions	Jan 31, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Semantic Data Augmentation for End-to-End Mandarin Speech Recognition	Apr 26, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding	Apr 5, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Semantic Language Model for Tunisian Dialect	Sep 1, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Semantic VAD: Low-Latency Voice Activity Detection for Speech Interaction	May 21, 2023	Action DetectionActivity Detection	—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