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 2081–2090 of 3012 papers

Title	Date	Tasks	Status
Minimally Supervised Written-to-Spoken Text Normalization	Sep 21, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition	Feb 17, 2022	Adversarial RobustnessAutomatic Speech Recognition	—Unverified
Mitigating Noisy Inputs for Question Answering	Aug 8, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MIXPGD: Hybrid Adversarial Training for Speech Recognition Systems	Mar 10, 2023	Adversarial AttackAutomatic Speech Recognition	—Unverified
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition	Feb 25, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Mixture Encoder for Joint Speech Separation and Recognition	Jun 21, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Combining TF-GridNet and Mixture Encoder for Continuous Speech Separation for Meeting Transcription	Sep 15, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Mixture of LoRA Experts for Low-Resourced Multi-Accent Automatic Speech Recognition	May 26, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Mixtures of Deep Neural Experts for Automated Speech Scoring	Jun 23, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MLCA-AVSR: Multi-Layer Cross Attention Fusion based Audio-Visual Speech Recognition	Jan 7, 2024	Audio-Visual Speech RecognitionAutomatic Speech Recognition	—Unverified

Show:10 25 50

← PrevPage 209 of 302Next →

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