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ACCMS seminar “Speech Learning – Human Process Machine Process”

Post date:2017/12/12

Academic Center for Computing and Media Studies (ACCMS) holds a seminar once in a month. We inviting active researchers from a variety of areas, and ask them to give talks about their research activity or issues in performing research, hoping to provide an opportunity for fruitful discussion among participants.
On an ACCMS seminar at January 18th, we invite Kaori SUGIURA at Ritsumeikan University and Toru NAKASHIKA at University of Electro-Communications. We hope to have a lot of participants.

Date 2018/01/18(Thu)16:30~18:30
Place South Building of ACCMS 2nd floor, Room 202
Fee Free
Application Not necessary
Host Academic Center for Computing and Media Studies, Kyoto University
Inquiry Hiroaki Nanjo, Academic Center for Computing and Media Studies, Kyoto University
E-mail : nanjo * media.kyoto-u.ac.jp (Please replace “*” with “@”.)
Program 16:3016:40 Opening

◆16:40~17:30
Speaker: Kaori SUGIURA (Associate Professor, College of Science and Engineering Ritsumeikan University)
Title: Implicit learning of L2 pronunciation by auditory repetitions: Pronunciation of weak vowels by Japanese learners of English
Abstract:This lecture focuses on the effect of the implicit learning of L2 pronunciation by auditory word/sentence repetitions, with a focus on weak vowels by Japanese learners of English. Studies that examined how the number of repetitions and the linguistics characteristics of presented auditory words (familiarity, stress patterns), the beat sounds that were presented preceding the target auditory sentences, and L1 phonetics and phonology affect learners’ pronunciation learning are introduced. The possibilities and limitations of the implicit learning of L2 pronunciation are also discussed.  (The talk will be given in Japanese)

◆17:30~18:20
Speaker: Toru NAKASHIKA (Assistant Professor, University of Electro-Communications)
Title: Automatic Phonemic Acquisition from Speech Signals and Its Applications
Abstract: Recently, statistical speech signal processing has been garnering much attention again, along with a craze of deep learning and popularization of audio input/output devices, such as smart phones, smart speakers, etc. In this talk, we will discuss deep-learning-based approaches that imitate our brain system of phonemic acquisition in the process of growing. Actual applications of the artificial phonemic acquisition to speech recognition and voice conversion will be also introduced. (The talk will be given in Japanese.)

◆18:20~18:30 Discussion & Closing
Remarks We have an elevator for physically handicapped persons. Please contact the office.
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