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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1631–1640 of 3012 papers

Title	Date	Tasks	Status
Neural Zero-Inflated Quality Estimation Model For Automatic Speech Recognition System	Oct 3, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Neuro-SERKET: Development of Integrative Cognitive System through the Composition of Deep Probabilistic Generative Models	Oct 20, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
New Baseline in Automatic Speech Recognition for Northern S\'ami	Jan 1, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Nexus: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision	Feb 26, 2025	Audio SynthesisAutomatic Speech Recognition	—Unverified
NGPU-LM: GPU-Accelerated N-Gram Language Model for Context-Biasing in Greedy ASR Decoding	May 28, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Noise Flooding for Detecting Audio Adversarial Examples Against Automatic Speech Recognition	Dec 25, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Noise Masking Attacks and Defenses for Pretrained Speech Models	Apr 2, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Noise Robust IOA/CAS Speech Separation and Recognition System For The Third 'CHIME' Challenge	Sep 21, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Noisy Training Improves E2E ASR for the Edge	Jul 9, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Non-Autoregressive Chinese ASR Error Correction with Phonological Training	Jul 1, 2022	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