Title | ||
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GlotNet - A Raw Waveform Model for the Glottal Excitation in Statistical Parametric Speech Synthesis. |
Abstract | ||
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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 Juvela | 1 | 35 | 8.29 |
Bajibabu Bollepalli | 2 | 22 | 7.17 |
Vassilis Tsiaras | 3 | 27 | 6.75 |
Paavo Alku | 4 | 728 | 98.07 |