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 :
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