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 1741–1750 of 3012 papers

Title	Date	Tasks	Status
Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition	Dec 21, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transferable Adversarial Attacks against ASR	Nov 14, 2024	Action DetectionActivity Detection	—Unverified
Transferable and Configurable Audio Adversarial Attack from Low-Level Features	Oct 22, 2018	Adversarial AttackAutomatic Speech Recognition	—Unverified
Transfer Learning Approaches for Streaming End-to-End Speech Recognition System	Aug 12, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments	May 2, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transfer Learning for British Sign Language Modelling	Jun 3, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transfer Learning for Less-Resourced Semitic Languages Speech Recognition: the Case of Amharic	May 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transfer Learning for Robust Low-Resource Children's Speech ASR with Transformers and Source-Filter Warping	Jun 19, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transfer Learning from Adult to Children for Speech Recognition: Evaluation, Analysis and Recommendations	May 8, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transferring Knowledge from a RNN to a DNN	Apr 7, 2015	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