a noisy environment for the rapid identification voice endpoint detection algori...

这是一个的matlab的对语音处理文件。、 包括录音，MFCC特征，VQLBG法的库的形成，与非特定人的识别问题。-This is one of the matlab files for voice processing. , Including the recording, MFCC characteristics, VQLBG law, the formation of the Treasury, with non-specific identification of people.

非线性量化。读取wav文件，用2到12比特数量化。抽样频率8KHz。

利用HMM的孤立字(词)语音识别程序,谢谢大家关注-A program of Using HMM s insulation word to recognise speech signal. Thank you for attention

自编的语音语谱图程序，适用于语音信号处理以及语音增强处理，-self Speech Spectrogram procedures applicable to the speech signal processing and speech enhancement.

利用Windows 系统中的语音系统发声,用户打开文本文件，将整个文件读出来。-use of the Windows operating system audible voice, the user opens a text file, the entire file read out.

这是一个公式编辑器，编写一个微型非所见即所得公式编辑器，对于输入的源代码进行分析，判断语法是否正确，如果正确则输出对应的公式。 -This is a formula editor, the preparation of a miniature non-WYSIWYG formula editor, enter the source code for an analysis to determine whether the grammar is correct, if the correct output corresponding to the formula.

本文主要叙述了语料及其管理系统的研究与设计用最新的开发工具和现有软件达到系统的设计 目标-This paper describes the corpus and its management system research and design using the latest development tools and existing software system to achieve the design goal

matlab语音工具箱-voice Matlab Toolbox

用于语音识别的汉语树形词典，完成了6万词汇的建树操作及相关子节点等的查询处理，主要用于指导语音搜索整个建立时间大概为3分钟-for speech recognition dictionary of Chinese tree, completed 60,000 contribution to the vocabulary and related operations, such as sub-nodes of query processing, Pronunciation guide for the main search the entire building for about three hours minutes

OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI Kö ksal Ö CAL Ankara Ü niversitesi Fen Bilimleri Enstitüsü Elektronik Mühendisliğ i Anabilim Dalı Danı ş man : Yrd. Doç . Dr. H. Gö khan İ LK Bu ç alı ş mada, SMM (Saklı Markov Model) tabanlı izole bir kelime tanı ma sistemi geliş tirilerek, sesin akustik parametreleri LPC (Linear Predictive Coding), LPCC (LPC Cepstrum), CEPS (Ayrı k Fourier dö nüş ümü tabanlı cepstrum) ve MFCC (Mel Frequency Cepstral Coefficients) ‘nin konuş macı dan bağ ı msı z konuş ma tanı ma sistemlerindeki performansları değ erlendirilmiş tir. Değ iş ik akustik parametrelerle birlikte değ iş ik S-OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI Kö ksal Ö CAL Ankara Ü niversitesi Fen Bilimleri Enstitüsü Elektronik Mühendisliğ i Anabilim Dalı Dan&