Generative models for speech emotion synthesis

Several attempts have been made to synthesize speech from text. However, existing methods tend to generate speech that sound artificial and lack emotional content. In this project, we investigate using Generative Adversarial Networks (GANs) to generate emotional speech. WaveGAN (2019) was a fir...

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Bibliographic Details
Main Author: Raj, Nathanael S.
Other Authors: Jagath C. Rajapakse
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/76865
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Institution: Nanyang Technological University
Language: English
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