理论上详细介绍了HMM模型及与语音识别相关的语音数字信号处理。
This paper also introduces HMM model and speech digital signal processing associated with speech recognition .
此外，一些典型情况的嘶哑语音信号被数字信号处理方法分析，这些方法包括FFT、LPC、倒谱技术、伪彩色编码等。
Moreover, hoarse speech signals of some typical cases are analyzed by the methods of digital signal processing, including FFT, LPC, Cepstrum.
该成果的硬件设备可适应不同的实时数字信号处理要求，应用于雷达、通讯、遥控、仪器、语音、智能等各种场合。
The hardware equipments are suitable for different real-time digital processing and apply to radar, communication, remote, instruments, voice and intelligence systems.
与此同时，结合数字信号处理知识，分别用谐波修正和时变数字滤波器的方法，完成基于骨导信号的语音重构。
At the same time, based on the knowledge of digital signal processing, reconstruction by harmonic correction and time variant digital filter was proposed.
本文利用新一代可编制逻辑器件在数字信号处理领域的优势，对语音信号低码率编码的FPGA实现进行了深入研究。
Use the predominance of new programmable logic chip on digital signal domain lucubrate on the implement with FPGA of speech signal low bit rate coding.
本课题从现代通信实验系统的要求出发，设计并实现了基于DSP(数字信号处理器)的语音编解码系统。
Starting from the request of the modern communication experimental system, the subject have designed and implemented a voice codec system based on DSP (digital signal processor).
本文介绍了一个基于定点数字信号处理器ADSP2181的语音控制器，着重讨论了其语音特征参数计算方法。
Introduced in this paper is a speech controller based on fixed-point DSP ADSP2181, which adopts mel-scale frequency cepstrum coefficient as principal speech recogniti0n parameter.
本文介绍了一个基于定点数字信号处理器ADSP2181的语音控制器，着重讨论了其语音特征参数计算方法。
Introduced in this paper is a speech controller based on fixed-point DSP ADSP2181, which adopts mel-scale frequency cepstrum coefficient as principal speech recogniti0n parameter.
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