基于单片机的语音提醒系统设计开发

本文旨在设计一个基于单片机的语音提醒系统.该系统以STC89C51单片机为核心,分为语音存储与回放模块、按键控制模块和LED屏幕显示模块,同时扩展一个256KB的外部RAM存储器用于存储大容量的语音信息.该设计简单易行,高效实用,在特定场合取得了良好的效果.     

VB中屏幕共享系统的设计与实现

分析了常用的几种屏幕共享技术后,提出了一种运用VB和SQL Server技术设计屏幕共享系统的方案,实现了从主机到客户机的屏幕共享及客户机可回放共享过程的功能。详细分析了屏幕图像的截取、保存、显示及回放技术的实现方法。系统构架简单、扩展性好,适合进行二次开发以满足各种具体应用。     

一种基于语音识别的声控鼠标的设计和实现

实现了一种基于语音识别技术的声控鼠标光标应用程序,可以用语音控制鼠标光标移动到屏幕的任意位置,能用来帮助伤残人士只用声音而不用鼠标和键盘就能操作电脑.分析了语音控制鼠标光标使用过程中的延时缺陷,并做出了针对性的改进.     

多屏幕异形投影展示系统的技术研究

本文对多屏幕异形投影展示系统进行了初步研究，提出了一种用于多屏幕投影无缝拼接技术的软件解决方案，给出了一个多屏幕异形投影展示系统的实例，并通过该实例着重阐述了在该展示系统中所涉及的多机同步播放控制技术、画面实时变形校正技术和多屏画面的融合调节技术等关键技术。     

基于ARM的皮肤听声系统的设计

为了提高皮肤听声器的性能,提出了一种基于ARM(先进的精简指令计算机处理器)的嵌入式皮肤听声系统设计方案,包括硬件设计、软件设计与一些滤波算法的实现。该系统在原来皮肤听声器的模拟电路中加入数字电路的设计,将嵌入式技术、皮肤听声技术与语音识别技术相融合,不仅可以让听觉障碍者通过皮肤感知到声音,还可以把说话人的声音信号以文本形式在屏幕上加以显示。实验结果表明,该系统提高了皮肤听声器的识别率,有效地解决了部分简单语音辨析难的问题。     

基于DSP的网络数字视频传输系统设计

本文对网络技术及数字视频技术的基础理论进行了归纳和总结，结合DSP数字信号处理技术实现了屏幕抓取和屏幕图像数据流的压缩与解压缩，从而将网络技术应用与数字视频监控系统通过网络实现异地监控。     

多功能语音电子电话号码薄的研制

结合实际研制开发工作介绍了多功能语音电子电话号码簿的性能与特点,给出了该系统的软、硬件设计方案和系统组成,讨论了MCU与DSP、DSP与CODEC的接口技术以及整个系统的供电技术。     

基于COM技术的语音应用系统的设计和实现

描述了将COM技术引用到语音应用系统的设计和实现中,提出利用COM技术定制语音应用系统的想法,并以Microsoft的SpeechSDK5.0为例,给出开发语音应用系统的主要设计思想、系统结构和实现方法。     

面向远端屏幕监控的一种图像压缩传输方法

针对已有的屏幕图像传输技术过于消耗主机资源和网络带宽的现状,给出了一种改进的远端屏幕图像压缩传输方法。通过对屏幕图像进行分块,只传输发生改变的屏幕图像块,大大地减少了图像数据的传输流量,提高了控制端屏幕刷新的流畅度。最后对本技术进行性能测试,并针对不同应用环境提出优化方法,可以作为网络监控、远程控制等系统屏幕传输算法的参考。     

基于MVF和颜色量化的监控屏幕图像采集方法

为解决在满足远程视频监控系统工作的实时性时,获取计算机监控屏幕图像的传统屏幕DC方法截取速度慢和所传输的视频数据量过大等问题,在屏幕DC(Device Context)方法的基础上,利用内存映射文件技术在处理大数据量文件上的优势,提高屏幕图像采集效率;采用颜色量化技术降低视频图像颜色数据量,在网络通信传输能力一定的情况下,保证整个远程监控网络的实时性。实验结果表明,该方法具有较快的屏幕图像截图速率,在降低图像位数前提下保证了图像视觉效果,在远程视频实时监控屏幕信息采集系统中有很大的用途。     

用TIS技术开发具有文本朗读功能的的应用程序

TTS技术已经越来越广泛地应用到现代计算机的各个领域，本文介绍了利用微软的Microsoft Speech SDK5．1提供的TTS(text-to-speech)技术开发具有语音朗读功能的应用程序。     

语音处理技术在语言学习中的应用

语音处理技术应用于语言的学习,可以改进、加强和丰富传统的语言学习方法,有利于提高学习效率;然而,如何有效地利用这些技术,建立各种计算机辅助语言学习 ＣＡＬＬ（Ｃｏｍｐｕｔｅｒ－Ａｉｄｅｄ Ｌａｎｇｕａｇｅ　Ｌｅａｒｎｉｎｇ）系统,是当前语音处理技术研究发展的一个重要方向。该文通过对传统的语言教学方法中所涉及到的主要因素的分析,研究了语音处理技术在语言学习系统中应用的主要层次和方法,以及使其更有效等方面的问题。     

将TTS引擎技术应用于Web页面实现中文朗读

介绍了微软公司的TTS引擎技术,以及如何在Web页面实现中文朗读.     

用Delphi编写背单词软件

介绍在Delphi环境下,利用数据库技术和微软的TextToSpeech技术,编写适合自己个性的背单词软件。     

Analysis and HMM-based synthesis of hypo and hyperarticulated speech

Hypo and hyperarticulation refer to the production of speech with respectively a reduction and an increase of the articulatory efforts compared to the neutral style. Produced consciously or not, these variations of articulatory efforts depend upon the surrounding environment, the communication context and the motivation of the speaker with regard to the listener. The goal of this work is to integrate hypo and hyperarticulation into speech synthesizers, such that they are more realistic by automatically adapting their way of speaking to the contextual situation, like humans do. Based on our preliminary work, this paper provides a thorough and detailed study on the analysis and synthesis of hypo and hyperarticulated speech. It is divided into three parts. In the first one, we focus on both acoustic and phonetic modifications due to articulatory effort changes. The second part aims at developing a HMM-based speech synthesizer allowing a continuous control of the degree of articulation. This requires to first tackle the issue of speaking style adaptation to derive hypo and hyperarticulated speech from the neutral synthesizer. Once this is done, an interpolation and extrapolation of the resulting models enables to finely tune the voice so that it is generated with the desired articulatory efforts. Finally the third and last part focuses on a perceptual study of speech with a variable articulation degree, where it is analyzed how intelligibility and various other voice dimensions are affected.     

Animation of a B-Spline figure

Summary In this paper we describe how the use of B-Spline surfaces allows lissom movements of body and face. Our method is empirical, based on a parametrical animation. It can be combined with a muscles model for facial animation as we illustrated for the speech.     

Segment-based emotion recognition from continuous Mandarin Chinese speech

Recognition of emotion in speech has recently matured to one of the key disciplines in speech analysis serving next generation human-machine interaction and communication. However, compared to automatic speech recognition, that emotion recognition from an isolated word or a phrase is inappropriate for conversation. Because a complete emotional expression may stride across several sentences, and may fetch-up on any word in dialogue. In this paper, we present a segment-based emotion recognition approach to continuous Mandarin Chinese speech. In this proposed approach, the unit for recognition is not a phrase or a sentence but an emotional expression in dialogue. To that end, the following procedures are presented: First, we evaluate the performance of several classifiers in short sentence speech emotion recognition architectures. The results of the experiments show that the WD-KNN classifier achieves the best accuracy for the 5-class emotion recognition what among the five classification techniques. We then implemented a continuous Mandarin Chinese speech emotion recognition system with an emotion radar chart which is based on WD-KNN; this system can represent the intensity of each emotion component in speech. This proposed approach shows how emotions can be recognized by speech signals, and in turn how emotional states can be visualized.     

Glottal source processing: From analysis to applications

The great majority of current voice technology applications rely on acoustic features, such as the widely used MFCC or LP parameters, which characterize the vocal tract response. Nonetheless, the major source of excitation, namely the glottal flow, is expected to convey useful complementary information. The glottal flow is the airflow passing through the vocal folds at the glottis. Unfortunately, glottal flow analysis from speech recordings requires specific and complex processing operations, which explains why it has been generally avoided. This paper gives a comprehensive overview of techniques for glottal source processing. Starting from analysis tools for pitch tracking, detection of glottal closure instant, estimation and modeling of glottal flow, this paper discusses how these tools and techniques might be properly integrated in various voice technology applications.     

从音联出发设计语音库语料

语料设计是汉语语音库工作中的重要环节，本文从音联角度探讨汉语语音库的语料设计，提出用音联（包括闭音联、音节音联、节奏音联）来作为语料中音段声学信息载体，从音位实现角度，提出一种普通话音联分类方案，给出一些统计结果。本文还介绍了一种基于单联选词框架，它能在限定数据量大小的情况下，兼顾声母、韵母、音联以及无调音节等因素统计平衡。     

噪声环境中基于GMM汉语说话人识别

在噪声环境中如何提高说话人识别精度是说话人识别研究中的一个非常重要的课题。为了让说话人识别系统在安静的环境和噪声环境中都能取得满意的工作性能,研究一个将语音增强器与说话人识别器级连起来的系统。该系统中,采用Weiner滤波增强算法提高说话人识别系统前端预处理的抗噪声能力,提高输入信号的信噪比。实验测试结果表明,该系统具有很好的抗噪声性能。