Dr. Chen received his B.S. and M.Phil. degrees in electronics engineering from Nanjing University, China, and graduated with his Ph.D. degree in electric engineering from The Chinese University of Hong Kong in 2005. He worked in the Cochlear Implants laboratory at the University of Texas at Dallas in 2009-2011, and joined the HKU Speech & Hearing Science Division at the end of 2011. His research interests include speech processing (speech enhancement and intelligibility modeling), speech perception (by normal and hearing-impaired listeners), and Cochlear Implants.

My research interests center around corpus linguistics and spontaneous speech processing. In 2011, I finished my Ph.D. thesis at NTU, entitled Prosodic Phrasing in Mandarin Spontaneous Speech: A Computational-acoustic Perspective. Our study is the first attempt to investigate prosodic units in conversation from a constructionist perspective and at the same time adopt a computational corpus-based method. Based on our analyses on the acoustic patterns, we suggest that spontaneous speech shows clear evidence that our conceptual planning precedes on a clausal basis. In 2012, our findings were presented in The 6th International Conference on Speech Prosody, entitled Conceptual Planning in Conversational Mandarin: Pitch Variation in Prosodic Phrasing (co-authored with Shu-Chuan Tseng). In 2013, we further extended our project to a comparative study between French and Mandarin in collaboration with the French National Centre for Scientific Research (CNRS) and presented our preliminary observation in PACLIC 27, entitled A quantitative comparative study of prosodic and discourse units: the case of French and Taiwan Mandarin (co-authored with Laurent Prévot, Shu-Chuan Tseng, and Klim Peshkov). This paper presents our efforts for establishing a spoken dataset for crosslinguistic studies by adding morpho-syntactic, chunking, prosodic and discourse annotation in order to be able to carry out quantitative comparative studies of the syntax-discourse-prosody interfaces.

Yi-Hsuan Yang earned his Ph.D. degree in Communication Engineering from National Taiwan University, Taiwan, in 2010. Since 2011, he has been affiliated with the Research Center for Information Technology Innovation, Academia Sinica as a tenure-track Assistant Research Fellow. He is the founder and director of the Music and Audio Computing Lab in Academia Sinica. He is also an Adjunct Assistant Professor with National Cheng Kung University (NCKU). Dr. Yang's research concerns music information retrieval, musical signal processing, affective computing, and machine learning. Dr. Yang was awarded the 2011 IEEE Signal Processing Society (SPS) Young Author Best Paper Award. He won First Prize of the 2012 ACM Multimedia Grand Challenge for his work on emotion-based music video generation. He was a tutorial speaker on music affect analysis in the 2012 International Society for Music Information Retrieval Conference (ISMIR 2012) and an author of the book 'Music Emotion Recognition' (CRC Press 2011). He is the recipient of the Academia Sinica Career Development Award in 2012 and the Excellent Junior Research Investigator Award by the National Science Council of Taiwan in 2013. He is an affiliated member of the Multimedia Systems and Applications Technical Committee (MSA TC) of the IEEE Circuits and Systems Society. He served as workshop organizer, special session organizer, and technical program committee member at IEEE ICME, ACM MM, and APSIPA conferences. He is serving as a technical program chair of ISMIR 2014, and a Guest Editor of IEEE Transactions on Affective Computing for the Special Issue on Advances on Affective Analysis in Multimedia.

Chi-Chun LEE (Jeremy) is currently at National Tsing Hua University, Electrical Engineering Department as an Assistant Professor. Jeremy received the Bachelor of Science (B.S.) degree with honor, Magna Cum Laude, in Electrical Engineering (EE) and minor in Business Administration from the University of Southern California (USC) in May 2007. He has been a member of Signal Analysis and Interpretation Laboratory (SAIL) directed by Prof. Shrikanth Narayanan from 2007 - 2012. Jeremy obtains his PhD degree in Electrical Engineering in December 2012. Jeremy was a data scientist at id:a lab at ID Analytics, San Diego from Feb. 2013 - Dec. 2013. His research interests are in human-centered behavioral signal processing, emphasizing the development of computational frameworks in recognizing human behavioral attributes and internal states using machine learning and signal processing techniques. He has been involved in multiple interdisciplinary research projects and has conducted collaborative research with researchers across domains of behavioral sciences. He was awarded with the USC Annenberg Fellowship (2007 - 2009). He led a team to participate and win the first Emotion Challenge - Classifier SubChallenge in 2009 InterSpeech. He is currently a member of Institute of Electrical and Electronics Engineers (IEEE) and International Speech Communication Association (ISCA).

Payton LIN was a premed and received his B.S in Cognitive Neuroscience from University of California, San Diego. He attended UC Irvine to obtain his PhD in Biomedical Engineering in order to help patients with hearing loss while also experimenting with the first FDA-approved neuroprosthesis: the cochlear implant. Under Professor Fan-Gang Zeng, he published research on auditory masking between electric and acoustic stimulations (EAS) in order to discover improvements for speech recognition in noise. After graduating, Dr. Lin worked on the hardware of cochlear implant microelectrode arrays in a microfabrication laboratory at City University of Hong Kong. Now at Academica Sinica’s Research Center for Information Technology Innovation, Dr. Lin aims to improve the speech signal processing of cochlear implants by researching the human auditory system from a computational modeling perspective.