左邊是小班做的雪人，右邊是中班做的黃色小鴨。
2013年10月21日 星期一
2013年10月15日 星期二
2013年10月7日 星期一
20131007.開懷玩廚房櫃子夾到手
邊哭邊含著剛夾到的手指頭
媽媽罰他站，不準秀秀
可憐的開懷 XD
最近因為會站，稍微要會走，
常常到處摸又到處玩。
但因為不懂哪些不能玩，常常犯錯。
就被媽媽稱為「傻弟」XD
媽媽罰他站，不準秀秀
最近因為會站，稍微要會走，
常常到處摸又到處玩。
但因為不懂哪些不能玩，常常犯錯。
就被媽媽稱為「傻弟」XD
2013年9月3日 星期二
2013年7月9日 星期二
Very Good Survey Paper of Music Information Retrieval
Casey, M.A.; Veltkamp, R.; Goto, M.; Leman, M.; Rhodes, C.; Slaney, M., "Content-Based Music Information Retrieval: Current Directions and Future Challenges," Proceedings of the IEEE , vol.96, no.4, pp.668,696, April 2008
doi: 10.1109/JPROC.2008.916370
Abstract: The steep rise in music downloading over CD sales has created a major shift in the music industry away from physical media formats and towards online products and services. Music is one of the most popular types of online information and there are now hundreds of music streaming and download services operating on the World-Wide Web. Some of the music collections available are approaching the scale of ten million tracks and this has posed a major challenge for searching, retrieving, and organizing music content. Research efforts in music information retrieval have involved experts from music perception, cognition, musicology, engineering, and computer science engaged in truly interdisciplinary activity that has resulted in many proposed algorithmic and methodological solutions to music search using content-based methods. This paper outlines the problems of content-based music information retrieval and explores the state-of-the-art methods using audio cues (e.g., query by humming, audio fingerprinting, content-based music retrieval) and other cues (e.g., music notation and symbolic representation), and identifies some of the major challenges for the coming years.
keywords: {Internet;content-based retrieval;information retrieval;music;World-Wide Web;cognition;content-based music information retrieval;download services;music content;music downloading;music industry;music perception;music streaming;music tracks;musicology;online music collections;online products;online services;Cognition;Computer science;Content based retrieval;Digital signal processing;Fingerprint recognition;Marketing and sales;Multiple signal classification;Music information retrieval;Organizing;Signal processing algorithms;Audio signal processing;content-based music information retrieval;symbolic processing;user interfaces},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4472077&isnumber=4472076
doi: 10.1109/JPROC.2008.916370
Abstract: The steep rise in music downloading over CD sales has created a major shift in the music industry away from physical media formats and towards online products and services. Music is one of the most popular types of online information and there are now hundreds of music streaming and download services operating on the World-Wide Web. Some of the music collections available are approaching the scale of ten million tracks and this has posed a major challenge for searching, retrieving, and organizing music content. Research efforts in music information retrieval have involved experts from music perception, cognition, musicology, engineering, and computer science engaged in truly interdisciplinary activity that has resulted in many proposed algorithmic and methodological solutions to music search using content-based methods. This paper outlines the problems of content-based music information retrieval and explores the state-of-the-art methods using audio cues (e.g., query by humming, audio fingerprinting, content-based music retrieval) and other cues (e.g., music notation and symbolic representation), and identifies some of the major challenges for the coming years.
keywords: {Internet;content-based retrieval;information retrieval;music;World-Wide Web;cognition;content-based music information retrieval;download services;music content;music downloading;music industry;music perception;music streaming;music tracks;musicology;online music collections;online products;online services;Cognition;Computer science;Content based retrieval;Digital signal processing;Fingerprint recognition;Marketing and sales;Multiple signal classification;Music information retrieval;Organizing;Signal processing algorithms;Audio signal processing;content-based music information retrieval;symbolic processing;user interfaces},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4472077&isnumber=4472076
2013年6月30日 星期日
2013年6月24日 星期一
2013年6月21日 星期五
2013年6月13日 星期四
2013年6月12日 星期三
2013年6月10日 星期一
2013年6月9日 星期日
2013年6月4日 星期二
2013年6月3日 星期一
2013年6月2日 星期日
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