Hidden Markov Toolkit (HTK) 3.2.1 HTK is a toolkit for use in research into automatic speech recognition and has been developed by the Speech Vision Robotics Group at the Cambridge University Engineering Department (http://svr-www.eng.cam.ac.uk) and Entropic Ltd (http://www.entropic.com).
標簽： HTK automatic research Toolkit
上傳時間： 2015-05-26
上傳用戶：myworkpost
C++ Demystified: A Self-Teaching Guide by Jeff Kent ISBN:0072253703 McGraw-Hill/Osborne © 2004 This hands-on, step-by-step resource will guide you through each phase of C++ programming, providing you with the foundation to discover how computer programs and programming languages work.
標簽： Self-Teaching Demystified McGraw-Hill 0072253703
上傳時間： 2013-12-13
上傳用戶：1427796291
簡單實現了A*尋路算法，運行時單擊鼠標隨機生成始點和終點，然后尋找到始點到終點的最短距離。
標簽： 算法
上傳時間： 2015-05-27
上傳用戶：wcl168881111111
Toggle P1.0 by xor ing P1.0 inside of a software loop.
標簽： 1.0 software Toggle inside
上傳時間： 2015-05-27
上傳用戶：wxhwjf
ITU-T Recommendation V.90 98年9月版本 A DIGITAL MODEM AND ANALOGUE MODEM PAIR FOR USE ON THE PUBLIC SWITCHED TELEPHONE NETWORK (PSTN) AT DATA SIGNALLING RATES OF UP TO 56 000 bit/s DOWNSTREAM AND UP TO 33 600 bit/s UPSTREAM
標簽： MODEM Recommendation ANALOGUE DIGITAL
上傳時間： 2014-01-17
上傳用戶：hn891122
this is a java book ,you can use these study java 2
上傳時間： 2014-01-22
上傳用戶：sxdtlqqjl
Evaluate a sequence of Bessel functions of the first and second kinds and their derivatives with integer orders and real arguments
標簽： derivatives functions and Evaluate
上傳時間： 2015-05-27
上傳用戶：685
Here is an implementation of UserCollectionType that returns a fast set. As you are looking below, note how much possibility there is for common subclasses that provide custom set/list/map implementations:
標簽： UserCollectionType implementation looking returns
上傳時間： 2015-05-27
上傳用戶：franktu
Fortran program: Evaluate a sequence of exponential integrals En(x)
標簽： exponential integrals Evaluate sequence
上傳時間： 2015-05-27
上傳用戶：sardinescn
FCMDEMO displays a GUI window to let you try out various parameters in fuzzy c-means clustering for 2-D data. You can choose the data set and clustering number from the GUI buttons at right, and then click "Start" to start the fuzzy clustering process.
標簽： clustering parameters displays FCMDEMO
上傳時間： 2014-01-23
上傳用戶：bjgaofei
