Title
GlotNet - A Raw Waveform Model for the Glottal Excitation in Statistical Parametric Speech Synthesis.
Abstract
Recently, generative neural network models which operate directly on raw audio, such as WaveNet, have improved the state of the art in text-to-speech synthesis (TTS). Moreover, there is increasing interest in using these models as statistical vocoders for generating speech waveforms from various acoustic features. However, there is also a need to reduce the model complexity, without compromising t...
Year
DOI
Venue
2019
10.1109/TASLP.2019.2906484
IEEE/ACM Trans. Audio, Speech & Language Processing
Keywords
Field
DocType
Acoustics,Vocoders,Speech synthesis,Computational modeling,Hidden Markov models,Neural networks
Feedforward neural network,Speech synthesis,Human voice,Pattern recognition,Computer science,Signal generator,Waveform,Speech recognition,Parametric statistics,Artificial intelligence,Artificial neural network,Hidden Markov model
Journal
Volume
Issue
ISSN
27
6
2329-9290
Citations 
PageRank 
References 
2
0.39
16
Authors
4
Name
Order
Citations
PageRank
Lauri Juvela1358.29
Bajibabu Bollepalli2227.17
Vassilis Tsiaras3276.75
Paavo Alku472898.07