Machine Learning for Audio/Speech Processing
Dec 22, 2018
Our research focuses on front-end audio processing techniques for speech processing, such as voice activity detection (VAD), noise suppression, direction of arrival (DoA) estimation, and classification.
Jong Hwan Ko (고종환)
[C40] Regression to Classification: Waveform Encoding for Neural Field-Based Audio Signal Representation
[J16] ORVAE: One-Class Residual Variational Autoencoder for Voice Activity Detection in Noisy Environment
Neural Processing Letters 2022
ICASSP 2018 (BK 인정 우수학회)