Search Results for author: Susanto Rahardja

Found 4 papers, 0 papers with code

A comparison of handcrafted, parameterized, and learnable features for speech separation

no code implementations29 Nov 2020 Wenbo Zhu, Mou Wang, Xiao-Lei Zhang, Susanto Rahardja

Among them, learnable features, which are trained with separation networks jointly in an end-to-end fashion, become a new trend of modern speech separation research, e. g. convolutional time domain audio separation network (Conv-Tasnet), while handcrafted and parameterized features are also shown competitive in very recent studies.

Sound

Hyperspectral Unmixing via Deep Autoencoder Networks for a Generalized Linear-Mixture/Nonlinear-Fluctuation Model

no code implementations30 Apr 2019 Min Zhao, Mou Wang, Jie Chen, Susanto Rahardja

This paper presents an unsupervised nonlinear spectral unmixing method based on a deep autoencoder network that applies to a generalized linear-mixture/nonlinear fluctuation model, consisting of a linear mixture component and an additive nonlinear mixture component that depends on both endmembers and abundances.

Hyperspectral Unmixing

Indoor Sound Source Localization with Probabilistic Neural Network

no code implementations21 Dec 2017 Yingxiang Sun, Jiajia Chen, Chau Yuen, Susanto Rahardja

It is known that adverse environments such as high reverberation and low signal-to-noise ratio (SNR) pose a great challenge to indoor sound source localization.

Direction of Arrival Estimation

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