讲座主题：
Quantum Machine Learning: What We are Looking for（量子机器学习：我们正在探索的）
主讲人姓名及介绍：
方强，中国社会科学院语言研究所副研究员。2001年毕业于南京理工大学信息工程专业获学士学位，2004年毕业于中国社会科学院研究生院语言学与应用语言学专业获硕士学位，同，IEEE协会高级会员。担任Interspeech2016，2018及2020说话人语种识别领域主席。
报告摘要：
Articulatory visualization aims at providing precise visual information of the speech organs that accompany with speech signals. It is often critical in fundamental studies and certain applications. In this talk, we will introduce the efforts in construction and control of an articulatory model of major articulator – tongue from three aspects: tongue profile segmentation, accurate tongue model construction, and precise tongue model control.
