“电子信息名家讲坛” 是电子工程系主办的系列活动,旨在建立世界一流的电子信息领域学术交流平台,拓展广大师生的学术视野。 


本期讲坛亦是“清华电子系语音语言技术前沿讲座”第一讲,有幸邀请美国伊利诺伊大学厄巴纳—香槟分校(UIUC)Paris Smaragdis教授作题为《What's Next in Learning for Audio – Going past chasing metrics》的线上报告。



01 讲座时间

3月25日10:00-11:00 AM(北京时间)


02 演讲题目

音频学习的下一步是什么——超越追逐指标

What's Next in Learning for Audio – Going past chasing metrics


03 演讲内容简介

In recent years we have seen enormous gains in many audio and speech processing techniques. By making use of deep learning and large data sets we have finally solved many problems to a good degree of audio fidelity. Unfortunately, this has set the attention of the community towards increased performance, and not so much towards solving new problems ad exploring new ideas. In this talk I will present some of the recent work in my group where the goal is to address new ways to process audio, while addressing real-life problems. I will talk about efficiency, distributed learning, meta-learning, and unsupervised learning approaches, and how we can use these in the context of concrete applications.


04 演讲嘉宾介绍 

Paris Smaragdis is a Professor and Associate Head at the Computer Science Department at the University of Illinois at Urbana-Champaign. He completed his masters, PhD, and postdoctoral studies at MIT, performing research on computational audition. In 2006 he was selected by MIT’s Technology Review as one of the year’s top young technology innovators for his work on machine listening, in 2015 he was elevated to an IEEE Fellow for contributions in audio source separation and audio processing, and during 2016-2017 he is an IEEE Signal Processing Society Distinguished Lecturer. He has authored more than 150 papers on various aspects of audio signal processing, holds more than 50 patents worldwide, and his research has been productized by multiple companies. He has previously been the chair of the LVA/ICA community, and the chair of the IEEE Machine Learning for Signal Processing Technical Committee, the chair of the IEEE Audio and Acoustics Signal Processing Technical Committee, a senior area editor of IEEE Transactions of Signal Processing, and a member of IEEE Signal Processing Society’s Board of Governors.  He is currently the Editor in Chief for the ACM/IEEE Transactions of Audio, Speech and Language Processing.


05 主持人介绍

欧智坚,清华大学电子工程系副研究员


06 讲座语言

英文


07 参与方式

  • 线上会议

    Zoom Webinar 会议号:934 1318 5672

    会议室链接:https://zoom.us/j/93413185672

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