中国计算机学会青年计算机科技论坛
CCF Young Computer Scientists & Engineers Forum
CCF YOCSEF天津
于2012年5月25日9:30-11:45
在天津大学第二十三教学楼104举行专题报告会
敬请光临
主办方:天津大学计算机学院
CCF YOCSEF天津
9:00 签到
9:30 报告会开始
特邀报告1:(9:30-10:30)
特邀讲者:Bruce Denby博士,法国皮埃尔与玛丽-居里大学(巴黎第六大学)教授
演讲题目:The OUISPER Project-- How to Talk without Speaking
内容简介:
The talk introduces the concept of the Silent Speech Interface, or SSI, for medical and telecommunications applications, surveys technologies for implementing one, and presents latest results on using medical ultrasound for an SSI.
演讲人简介:
Professor Bruce Denby received a BS degree from the California Institute of Technology, an MS from Rutgers University, and a PhD from the University of California at Santa Barbara, all in physics. Since 1995 he has been full professor of electronics, signal processing, and telecommunications in France, most recently at Pierre and Marie Curie University in Paris. His current interests are in radiocommunication and speech processing.
特邀报告2: (10:45-11:45)
特邀讲者:Frank K. Soong 博士,微软亚洲研究院语音组首席研究主任及研究经理
演讲题目:High Quality Speech Synthesis and Talking Head for Language Learning and Cross-lingual Voice Conversion
内容简介:
A universal algorithm called HMM Trajectory Tiling (HTT) is presented for synthesizing high quality speech and photo-realistic talking head and its pplications in foreign language learning and cross-lingual voice conversion will be covered. A database is first collected first to train a statistical, generative Hidden Markov Model (HMM), where corresponding statistical HMM parameters are estimated. Thus trained HMMs can predict acoustic or articulator trajectories for input text. The predicted trajectory by HMM are then in turn to guide sample (speech segments or articular images) based synthesis. Appropriate samples (N nearest neighbors) in the original database are selected to for a “sausage” network and Viterbi algorithm is used to optimize a path search in the network to find the final high quality, speech/articulator movement output. Different training criteria are compared and demos for natural user interfacing will be presented. The HTT algorithm is also used for training a cross-lingual voice conversion TTS system in a target language with speech/articulator data from a monolingual speaker in a source language. The talking head and TTS has been deployed very successfully to http://dict.bing.com.cn as a dynamic dictionary for helping English as a Second Language (ESL) learners. The web site is accessed by more than one million users per day.
演讲人简介:
Frank Soong is a Principal Researcher and Manager, Speech Group at Microsoft Research Asia (MSRA), Beijing, China, where he works on fundamental speech research and its practical applications, His professional research career spans over 30 years, first with Bell Labs, US, then with ATR, Japan before joining MSRA in 2004. At Bell Labs, he was responsible for developing speech recognition algorithm and making the voice-activated dialing mobile phone product rated by the Mobile Office Magazine (Apr. 1993) as the “outstandingly the best”. He is a co-recipient of the Bell Labs President Gold Award for developing the Bell Labs Automatic Speech Recognition (BLASR) software package.
He is an IEEE Fellow and serves the Speech and Language Technical Committee, IEEE Signal Processing Society and other society functions, including Associate Editor of the IEEE Speech and Audio Transactions and chairing IEEE International Workshop.
He published extensively with more than 200 papers and co-edited a widely used reference book, Automatic Speech and Speech Recognition- Advanced Topics, Kluwer, 1996.
He is the co-Director of the MSRA-CUHK Joint Research Lab at Chinese University of Hong Kong and a visiting professor of Tianjin Univ, CUHK, Zhejiang Univ. and a few other top-rated universities in China. He got his BS, MS and PhD from National Taiwan Univ., Univ. of Rhode Island, and Stanford Univ, all in Electrical Eng.
联系人:魏建国手机:18722011190
报名方式: Email:jianguo@tju.edu.cn
如参加,请于5月24日前致信jianguo@tju.edu.cn,以便安排会务。