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 851–860 of 3012 papers

Title	Date	Tasks	Status
Deep Recurrent Convolutional Neural Network: Improving Performance For Speech Recognition	Nov 22, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Deep Recurrent Neural Networks for Acoustic Modelling	Apr 7, 2015	Acoustic ModellingAutomatic Speech Recognition	—Unverified
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends	Jan 2, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Deep Shallow Fusion for RNN-T Personalization	Nov 16, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Conv-Transformer Transducer: Low Latency, Low Frame Rate, Streamable End-to-End Speech Recognition	Aug 13, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Convolutional Variational Autoencoders for Spectrogram Compression in Automatic Speech Recognition	Oct 3, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Transfer Learning Method for Speech Emotion Recognition from Automatic Speech Recognition	Aug 6, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization	Apr 27, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Deep versus Wide: An Analysis of Student Architectures for Task-Agnostic Knowledge Distillation of Self-Supervised Speech Models	Jul 14, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Aligning Speech to Languages to Enhance Code-switching Speech Recognition	Mar 9, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

Show:10 25 50

← PrevPage 86 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