Asia-Pacific Signal and Information Processing Association (APSIPA) - Efficient deep neural networks for speech synthesis using bottleneck features

2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

Author(s): Young-Sun Joo ; Won-Suk Jun ; Hong-Goo Kang
Publisher: Asia-Pacific Signal and Information Processing Association (APSIPA)
Publication Date: 1 December 2016
Conference Location: Jeju, South Korea
Conference Date: 13 December 2016
Page(s): 1 - 4
ISBN (Electronic): 978-9-8814-7682-1
DOI: 10.1109/APSIPA.2016.7820721
Regular:

This paper proposes a cascading deep neural network (DNN) structure for speech synthesis system that consists of text-to-bottleneck (TTB) and bottleneck-to-speech (BTS) models. Unlike... View More

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