Artificial Bandwidth-Extension with Sum-Product Networks

This package performs training and inference for ABE, using an HMM/SPN-model as described in [1]. It is based on Matlab, but calls C++ binaries for training and inference of SPNs. The core routine for training is the Poon & Domingos algorithm for training SPNs [2], which was ported to C++ here.

By downloading and using this package you agree to the terms in the file LICENSE.txt.

[1] R. Peharz, G. Kapeller, P. Mowlaee and F. Fernkopf,
"Modeling Speech with Sum-Product Networks: Application to Bandwidth Extension",
ICASSP, 2014.
[2] H. Poon and P. Domingos,
"Sum-product networks: A new deep architecture",
UAI, 2011, pp. 337–346.

AttachmentSize
SPN_ABE_release_V1.tar.gz807.56 KB
Contact: 
SPSC Cross Reference
Research Area: 
Acronym: 
ABESPN
Type: 
Tool