源于饮食文化的英语习语及修辞特点

通过论述语言与文化的关系，分析了源于饮食文化的英语习语及修辞特点。指出，人类源远流长的饮食文化酝酿出丰富多彩、形象主动、喻意深刻的习语。习语是语言的核心和精华，是各种修辞手段的集中表现。大部分习语都是用非常生动的比喻形成的。正是这种恰当的形象比喻，使习语具有很强的生命力，成为语言中绚丽多彩的一部分。     

基于多分类器融合的语音识别方法研究

针对语音识别性能提高的问题,提出了一种基于多分类器融合的语音识别方法,该方法使用支持向量机(support vector machine,SVM),RBF神经网络与贝叶斯网络作为成员分类器,根据样本库中抽取的校验集计算各成员分类器的权值,以加权评分的投票策略进行决策融合.实验结果表明,通过多分类器融合的识别结果明显优于...     

《红楼梦》中请求言语行为预示序列话语策略研究

请求言语行为是一种较为普遍的指令性言语行为。本文依据奥斯丁的言语行为理论对《红楼梦》请求话语中的预示序列话语策略进行研究。结果显示：预示序列话语策略在成功实施请求言语行为中起到了非常重要的作用。     

采用DTW算法和语音增强的嵌入式声纹识别系统

动态时间规整(dynamic time warping,DTW)是一种相对简单成熟的算法,广泛用于语音识别系统中.针对环境噪声对声纹识别系统性能的影响,用信噪比关联谱减及自适应门限端点检测进行抗噪声处理,在此基础上采用DTW算法设计了基于嵌入式ARM9平台的声纹识别实现方案,并给出了带噪环境下的声纹识别实验结果.     

Realtime robust speech communication based on iterative joint source-channel decoding and demodulation algorithm for MELP vocoder

Realtime speech communications require high efficient compression algorithms to encode speech signals. As the compressed speech parameters are highly sensitive to transmission errors, robust source and channel decoding and demodulation schemes are both important and of practical use. In this paper, an iterative joint source-channel decoding and demodulation algorithm is proposed for mixed excited linear prediction (MELP) vocoder by both exploiting the residual redundancy and passing soft information throughout the receiver while introducing systematic global iteration process to further enhance the performance. Being fully compatible with existing transmitter structure, the proposed algorithm does not introduce additional bandwidth expansion and transmission delay. Simulations show substantial error correcting performance and synthesized speech quality improvement over conventional separate designed systems in delay and bandwidth constraint channels by using the joint source-channel decoding and demodulation (JSCCM) algorithm.     

电脑语音报警器

本文介绍了一种用语音报警的新型报警器，文中针对本报警器在设计和使用时的特殊情况进行了详细说明．     

Chinese Speech Recognition Model Based on Activation of the State Feedback Neural Network

IntroductionIn recentyears,speech recognition has made greatprogress.Commercial systems such as Via Voice( IBM Company) and Naturally Speaking 1 .0( Dragon System Company ) lead the field.Although the recognition ratio has greatlyimproved,many issues still need further research,such as,real- time in processing,systemcomplexity[4 6] ,very large scale integrated circuit( VLSI) implementation,etc.Among these issues,the implementation in VLSI is the most criticalchallenge for wide use of s…     

情感表达的跨文化多模态感知研究

视频和音频2个模态的信息在交际过程中起着至关重要的作用,该文研究关注的问题是情感表达中不同文化背景的听者对情感的感知(解码)与这2个模态(面部表情和情感声音)的关系。发音人为中国人,录制她的5个语句的7种情感(6种基本情感+中性情感)的音频和面部表情,制作3类刺激:只有音频信息(A-only)、只有面部视频信息(V-only)以及视频和音频同步信息(AV-Congruent)。听辨人为10名不会日语的中国人和10名不会汉语的日本人。对听辨结果分析发现,面部视频信息的加入有益于情感的感知,视频和音频信息在跨文化的情感解码中起着不同的作用,与情感的唤醒度有密切的关系,相关距离空间分布模式说明听辨结果具有稳定性,跨文化的情感感知存在普遍的心理基础。     

A Unified Framework for Multilingual Text-to-Speech Synthesis with SSML Specification as Interface

This paper describes the design of a unified framework for a multilingual text-to-speech (TTS) synthesis engine – Crystal. The unified framework defines the common TTS modules for different languages and/or dialects. The interfaces between consecutive modules conform to the speech synthesis markup language (SSML) specification for standardization, interoperability, multilinguality, and extensibility. Detailed module divisions and implementation technologies for the unified framework are introduced, together with possible extensions for the algorithm research and evaluation of the TTS synthesis. Implementation of a mixed-language TTS system for Chinese Putonghua, Chinese Cantonese, and English demonstrates the feasibility of the proposed unified framework.     

基于LPC预测误差DWT的语音基音检测

在对语音信号进行ＬＰＣ分析的基础上，提出了一种有效的语音基音周期检测算法。该算法利用小波变换中著名的Ｍａｌｌａｔ算法逐层分解ＬＰＣ预测误差信号，在最低分辨率的逼近信号中寻找峰值，然后逐层回溯各个分辨率的逼近信号，最后在ＬＰＣ预测误差中确定出峰值，从而求出相应的基音周期。