DocumentCode
1728401
Title
PodCastle and songle: Crowdsourcing-based web services for spoken document retrieval and active music listening
Author
Goto, Masataka ; Ogata, Jun ; Yoshii, Kazuyoshi ; Fujihara, Hiromasa ; Mauch, Matthias ; Nakano, Tomoyasu
Author_Institution
Nat. Inst. of Adv. Ind. Sci. & Technol. (AIST), Tsukuba, Japan
fYear
2012
Firstpage
298
Lastpage
299
Abstract
In this talk, we describe two web services for speech and music, PodCastle (Figure 1) and Songle (Figure 2), that collect and amplify voluntary contributions by anonymous users to improve user experiences. Our goal is to provide users with public web services based on speech recognition, music understanding, signal processing, machine learning, and crowdsourcing so that they can experience state-of-the-art research-level technologies through useful services.
Keywords
Web services; information retrieval; music; speech; Web Services; active music listening; machine learning; music understanding; research level technologies; signal processing; speech recognition; spoken document retrieval; Digital audio broadcasting; Games; Multiple signal classification; Signal processing; Speech; Speech recognition; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory and Applications Workshop (ITA), 2012
Conference_Location
San Diego, CA
Print_ISBN
978-1-4673-1473-2
Type
conf
DOI
10.1109/ITA.2012.6181786
Filename
6181786
Link To Document