Maximilian Strake — accepted AI-conference papers

2020

Fully Convolutional Recurrent Networks for Speech Enhancement

Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, Tim Fingscheidt

ICASSP 2020accepted

Convolutional recurrent neural networks (CRNs) using convolutional encoder-decoder (CED) structures have shown promising performance for single-channel speech enhancement. These CRNs handle temporal modeling through integrating long short-term memory (LSTM) layers in between convolutional encoder an…

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2018

A Simple Cepstral Domain DNN Approach to Artificial Speech Bandwidth Extension

Johannes Abel, Maximilian Strake, Tim Fingscheidt

ICASSP 2018accepted

In this work, we present a simple deep neural network (DNN)-based regression approach to artificial speech bandwidth extension (ABE) in the frequency domain for estimating missing speech components in the range 4 ... 7 kHz. The upper band (UB) spectral magnitudes are found by first estimating the UB…

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