Grapheme-to-Phoneme Conversion with Convolutional Neural Networks

Grapheme-to-Phoneme Conversion with Convolutional Neural Networks

Grapheme-to-phoneme (G2P) conversion is the process of generating pronunciation for words based on their written form. It has a highly essential role for natural language processing, text-to-speech synthesis and automatic speech recognition systems. In this paper, we investigate convolutional neural...

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Bibliographic Details
Main Authors: Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Applied Sciences
Subjects:
grapheme-to-phoneme (G2P)
encoder-decoder
LSTM
1D convolution
Bi-LSTM
residual architecture
Online Access:http://www.mdpi.com/2076-3417/9/6/1143

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http://www.mdpi.com/2076-3417/9/6/1143

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