A self-organizing map with twin units capable of describing a nonlinear input-output relation applied to speech code vector mapping

A self-organizing map with twin units capable of describing a nonlinear input-output relation applied to speech code vector mapping
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DOI：
10.1016/j.ins.2007.05.028
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发表时间：
2007-11
期刊：
Inf. Sci.
影响因子：
--
通讯作者：
E. Uchino;K. Yano;T. Azetsu
E. Uchino;K. Yano;T. Azetsu
中科院分区：
其他
文献类型：
--
作者：
E. Uchino;K. Yano;T. Azetsu

文献摘要

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本文描述了一种新型的双单元自组织映射 (SOM)，它与 ​​Kohonen 提出的单单元类型传统 SOM 不同。目前的双单元自组织映射（TW-SOM）可以高精度地描述非线性输入输出关系。它被应用于骨导语音到气导语音（非线性码向量映射）的语音转换问题，并讨论了它相对于使用Linde-Buzo-Gray（LBG）算法的传统方法的优越性。转换后的声音的音质不仅从量化失真的角度进行检查，而且还通过实际听力测试从听觉的角度进行检查。音质的增强得到了实验证实。
This paper describes a new type of self-organizing map (SOM) with twin units as opposed to the single unit type conventional SOM proposed by Kohonen. The present self-organizing map with twin units (TW-SOM) can describe a nonlinear input–output relation with high accuracy. It is applied to voice conversion problem from bone conduction voice to air conduction voice (nonlinear code vector mapping), and its superiority over the conventional method using Linde–Buzo–Gray (LBG) algorithm is discussed. The tone quality of the converted voice is examined not only from the quantization distortion viewpoint, but also from the auditory sensation viewpoint through actual listening tests. The enhancement of the tone quality was experimentally confirmed.