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1、数字语音处理教学大纲一、课程基本信息课程名称数字语音处理Digital Speech Signal Processing课程编码OSI323021020开课院部海洋与空间信息学院课程团队（未设置）学分2.0课内学时32讲授32实验0上机0实践0课外学时32适用专业电子信息工程授课语言中文先修课程数字信号处理、数字信号处理课程设计课程简介（限选）本课程是一门专业限选课，数字语音处理是语音学和数字信号处理两个学科相交叉的一门课程。课程主要介绍语音学的基础知识，语 音的产生、感知机理和生成模型，语音信号在时域、频域、倒谱域短时分析和处理方法，语音信号的线性预测分析和矢量量化、语音信号 特征参数提取，
2、隐马尔科夫模型，及在语音识别、语音合成等前沿领域的应用。通过课程学习使学生了解语音信号特性，并能熟练使用 CoolEdit. Praat. SFS、Mallab等工具采集、分析和处理语音信号，处理的目的是得到语音信号的特征参数，以便高效地传输、存储、识别 和合成语音信号。通过本课程的学习，进一步拓宽本科生的信号处理知识，为学生进入信号处理前沿领域打下良好的基础。This course is a professional limited course, and digital speech processing is a course in which phonetics and digital
3、 signal processing intersect. The course focuses on the basic knowledge of phonetics, the generation, perception mechanism and generation model of speech, and the short-term analysis and processing methods of speech signals in time domain, frequency domain and cepstrum domain, linear prediction anal
4、ysis and vector quantization of speech signals, extraction of speech signal characteristic parameters, brief introduction of hidden Markov model, and its application in speech recognition, speech synthesis and other frontier fields. Through course learning, students can understand the characteristic
5、s of voice signals, and can skillfully use CoolEdit, Praat, SFS, Matlab and other tools to collect, analyze and process voice signals, the purpose of processing is to obtain the characteristic parameters of speech signals so as to efficiently transmit, store, recognize and synthesize speech signals. Through the study of this course, the signal processing knowledge of undergraduates will be further broadened and a good foundation will be laid for students to enter the frontier field of signal processing.负责人大纲执笔人审核人