Theoretical and practical aspects of computer speech processing

Z. Ciota
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Abstract

The design process of computer speech systems is presented. Going over the solutions of neural networks, the systolic structure gives the biggest possibility for smart realization of a speech processor. A speech processing system, built generally as software surroundings, occupies an immense memory space. For real-time application it is necessary to combine the existing algorithms. Further increasing of the speed can be also achieved by using hardware-software co-design. The approach presented in this paper, permits to design such effective systems of human voice synthesis and speech identification. Since the spoken language can be very often ambiguous, then it was useful to include a fuzzy logic approach and also artificial neural networks, to obtain more effective methods of speech processing. Mixed analog-digital realizations are also discussed. Practical realizations of the current mode building blocks ensure the cheapest realization of CMOS integrated circuits.
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计算机语音处理的理论和实践方面
介绍了计算机语音系统的设计过程。回顾神经网络的解决方案,收缩结构为语音处理器的智能实现提供了最大的可能性。语音处理系统通常作为软件环境构建,占用巨大的内存空间。为了实现实时应用,有必要将现有算法结合起来。采用软硬件协同设计还可以进一步提高速度。本文提出的方法允许设计这种有效的人类语音合成和语音识别系统。由于口语往往是模棱两可的,因此引入模糊逻辑方法和人工神经网络是有用的,以获得更有效的语音处理方法。还讨论了混合模拟-数字实现。当前模式构建模块的实际实现确保了CMOS集成电路最便宜的实现。
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