Supervised Contrastive Learning for Voice Activity Detection
The noise robustness of voice activity detection (VAD) tasks, which are used to identify the human speech portions of a continuous audio signal, is important for subsequent downstream applications such as keyword spotting and automatic speech recognition. Although various aspects of VAD have been re...
Main Authors: | Youngjun Heo, Sunggu Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/12/3/705 |
Similar Items
-
Improving Cancer Metastasis Detection via Effective Contrastive Learning
by: Haixia Zheng, et al.
Published: (2022-07-01) -
An Efficient Convolutional Neural Network with Supervised Contrastive Learning for Multi-Target DOA Estimation in Low SNR
by: Yingchun Li, et al.
Published: (2023-09-01) -
Experimental Case Study of Self-Supervised Learning for Voice Spoofing Detection
by: Yerin Lee, et al.
Published: (2023-01-01) -
Supervised Contrastive Learning-Based Classification for Hyperspectral Image
by: Lingbo Huang, et al.
Published: (2022-11-01) -
Experimental Evaluation of Deep Learning Methods for an Intelligent Pathological Voice Detection System Using the Saarbruecken Voice Database
by: Ji-Yeoun Lee
Published: (2021-08-01)