Speech production by a mechanical model: Construction of a vocal tract and its control by neural network

Speech production by a mechanical model: Construction of a vocal tract and its control by neural network
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机械模型的语音产生:声道的构建及其神经网络的控制

DOI:
10.1109/robot.2002.1014322
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发表时间:
2002
期刊:
Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292)
影响因子:
--
通讯作者:
H. Sawada
H. Sawada
中科院分区:
--
文献类型:
--
作者:
T. Higashimoto;H. Sawada

文献摘要

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我们正在开发一个基于机电一体化技术的人类发声系统的机械模型。尽管人们对各种发声方式进行了积极的研究,但一种机械结构的流体动力学被认为是实现自然发声的有利条件。在发声过程中,机械系统需要对声带和声道的行为进行分析。此外,流体力学的稳定性较差,使控制变得困难。几个马达被用来操纵机械发声系统。神经网络在学习阶段通过听觉反馈建立运动位置和产生的声音之间的关系。在语音表演中,机械系统能够发出声音,而声调和音素则由听觉反馈控制进行自适应控制。本文介绍了声道部分的构造及其神经网络自适应控制。
We are developing a mechanical model of a human vocal system based on a mechatronics technology. Although various ways of vocal sound production have been actively studied so far, a mechanical construction is considered to advantageously realize natural vocalization with its fluid dynamics. In the voice generation, the analysis of the behaviors of the vocal cords and the vocal tract are required to be employed in the mechanical system. Furthermore, the fluid mechanics is less stable to make the control difficult. Several motors are employed to manipulate the mechanical vocal system. A neural network works to establish the relations between motor positions and the produced vocal sounds by an auditory feedback in the learning phase. In the speech performance, the mechanical system is able to utter while vocal pitches and phonemes are adaptively controlled by an auditory feedback control. This paper presents the construction of a vocal tract part and its adaptive control by the neural networks.