Real-time and Non-real-time Voice Conversion Systems with Web Interfaces

被引：0
|
作者：
Azarov, Elias [1 ]
Vashkevich, Maxim [1 ]
Likhachov, Denis [1 ]
Petrovsky, Alexander [1 ]
机构：
[1] Belarusian State Univ Informat & Radioelect, Dept Comp Engn, 6,Brovky str, Minsk 220013, BELARUS
来源：
14TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2013), VOLS 1-5 | 2013年
关键词：
voice conversion; VoIP; instantaneous speech parameters; neural networks;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Two speech processing systems have been developed for realtime and non-real-time voice conversion. Using the real-time processing the user can apply conversion during voice over IP (VoIP) calls imitating identity of a specified target speaker. Non-real-time processing system converts prerecorded audio books read by a professional reader imitating voice of the user. Both systems require some speech samples of the user for training. The training procedures are similar for both systems however the user is considered as a source speaker in the first case and as a target speaker in the second. For parametric representation of speech we use a speech model based on instantaneous harmonic parameters with multicomponent sinusoidal excitation. The voice conversion itself is made using artificial neural networks (ANN) with rectified linear units. Here we demonstrate implementations of the voice conversion systems with dedicated web interfaces and iPhone application.
引用
收藏
页码：2661 / 2662
页数：2
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