Speech reconstruction using a deep partially supervised neural network.

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Speech reconstruction using a deep partially supervised neural network.

Healthc Technol Lett. 2017 Aug;4(4):129-133

Authors: McLoughlin I, Li J, Song Y, Sharifzadeh HR

Abstract
Statistical speech reconstruction for larynx-related dysphonia has achieved good performance using Gaussian mixture models and, more recently, restricted Boltzmann machine arrays; however, deep neural network (DNN)-based systems have been hampered by the limited amount of training data available from individual voice-loss patients. The authors propose a novel DNN structure that allows a partially supervised training approach on spectral features from smaller data sets, yielding very good results compared with the current state-of-the-art.

PMID: 28868149 [PubMed]

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