Search Results for author: Josef Schlittenlacher

Found 2 papers, 0 papers with code

Text-to-speech for the hearing impaired

no code implementations3 Dec 2020 Josef Schlittenlacher, Thomas Baer

Transfer learning led to a quick adaptation of the produced spectra from original speech to individually amplified speech, resulted in high speech quality and intelligibility, and thus gives us a way to train an individual TTS system efficiently.

Transfer Learning

Fast computation of loudness using a deep neural network

no code implementations24 May 2019 Josef Schlittenlacher, Richard E. Turner, Brian C. J. Moore

The DNN was trained using the output of a more complex model, called the Cambridge loudness model.

Cannot find the paper you are looking for? You can Submit a new open access paper.