Keynote 1: "PodCastle and Songle: Crowdsourcing-Based Web Services for Spoken Content Retrieval and Active Music Listening"
National Institute of Advanced Industrial Science and Technology (AIST), Japan
Abstract: In this keynote talk, we describe two crowdsourcing-based web services, PodCastle (http://en.podcastle.jp for the English version and http://podcastle.jp for the Japanese version) and Songle (http://songle.jp). PodCastle and Songle collect voluntary contributions by anonymous users in order to improve the experiences of users listening to speech and music content available on the web. These services use automatic speech-recognition and music-understanding technologies to provide content analysis results, such as full-text speech transcriptions and music scene descriptions, that let users enjoy content-based multimedia retrieval and active browsing of speech and music signals without relying on metadata.
When automatic content analysis is used, however, errors are inevitable. PodCastle and Songle therefore provide an efficient error correction interface that let users easily correct errors by selecting from a list of candidate alternatives. Through these corrections, users gain a real sense of contributing for their own benefit and that of others and can be further motivated to contribute by seeing corrections made by other users.
Our services promote the popularization and use of speech-recognition and music-understanding technologies by raising user awareness. Users can grasp the nature of those technologies just by seeing results obtained when the technologies applied to speech data and songs available on the web.
Bio: Masataka Goto received the Doctor of Engineering degree from Waseda University, Japan, in 1998. He is currently a Prime Senior Researcher and the Leader of the Media Interaction Group at the National Institute of Advanced Industrial Science and Technology (AIST), Japan. He serves concurrently as a Visiting Professor at the Institute of Statistical Mathematics, an Associate Professor (Cooperative Graduate School Program) in the Graduate School of Systems and Information Engineering, University of Tsukuba, and a Project Manager of the MITOH Program (the Exploratory IT Human Resources Project) by the Information Technology Promotion Agency (IPA).
In 1992 he was one of the first to start work on automatic music understanding, and has since been at the forefront of research in music technologies and music interfaces based on those technologies. Since 1998 he has also worked on speech recognition interfaces. He has published more than 180 papers in refereed journals and international conferences. Over the past 20 years, he has received 27 awards, including the Young Scientists' Prize, the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology. He has served as a committee member of over 80 scientific societies and conferences and was the Chair of the IPSJ Special Interest Group on Music and Computer (SIGMUS) in 2007 and 2008 and the General Chair of the 10th International Society for Music Information Retrieval Conference (ISMIR 2009).