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    • 1. 发明授权
    • Information processing terminal, information processing method, and program
    • 信息处理终端,信息处理方法和程序
    • US08418193B2
    • 2013-04-09
    • US12325509
    • 2008-12-01
    • Mari SaitoNoriyuki YamamotoMitsuhiro MiyazakiYasuharu AsanoTatsuki Kashitani
    • Mari SaitoNoriyuki YamamotoMitsuhiro MiyazakiYasuharu AsanoTatsuki Kashitani
    • H04N5/76H04N7/16
    • H04H60/33
    • An information processing method includes the steps of: obtaining biometric information expressing biometric responses exhibited by a user during content playback; obtaining metadata for each content of which biometric information is obtained; identifying attributes linked to the biometric information within the attributes included in the obtained metadata and identifying, in the case of content wherein identified attribute values differ but the user exhibits similar biometric responses during playback, the different value of the attribute linked to the biometric information as a value not necessary to be distinguished; reconfiguring a profile by merging the information relating to the value which is identified which is not necessary to be distinguished, from the information included in the user profile; identifying recommended content based on the reconfigured profile; and presenting the identified recommended content information to the user.
    • 一种信息处理方法,包括以下步骤:获取表示用户在内容再现期间呈现的生物特征响应的生物特征信息; 获取获得生物特征信息的每个内容的元数据; 识别与包含在所获得的元数据中的属性中的生物特征信息相关联的属性,并且在所识别的属性值不同但是用户在回放期间展现相似生物特征响应的内容的情况下识别与生物测定信息相关联的属性的不同值 不需要区分的价值; 通过将与所识别的值不相关的信息与包含在用户简档中的信息相结合来重新配置简档; 基于重新配置的配置文件识别推荐的内容; 并向用户呈现所识别的推荐内容信息。
    • 3. 发明申请
    • INFORMATION PROCESSING TERMINAL, INFORMATION PROCESSING METHOD, AND PROGRAM
    • 信息处理终端,信息处理方法和程序
    • US20090089833A1
    • 2009-04-02
    • US12325509
    • 2008-12-01
    • Mari SaitoNoriyuki YamamotoMitsuhiro MiyazakiYasuharu AsanoTatsuki Kashitani
    • Mari SaitoNoriyuki YamamotoMitsuhiro MiyazakiYasuharu AsanoTatsuki Kashitani
    • H04N5/445
    • H04H60/33
    • An information processing method includes the steps of: obtaining biometric information expressing biometric responses exhibited by a user during content playback; obtaining metadata for each content of which biometric information is obtained; identifying attributes linked to the biometric information within the attributes included in the obtained metadata and identifying, in the case of content wherein identified attribute values differ but the user exhibits similar biometric responses during playback, the different value of the attribute linked to the biometric information as a value not necessary to be distinguished; reconfiguring a profile by merging the information relating to the value which is identified which is not necessary to be distinguished, from the information included in the user profile; identifying recommended content based on the reconfigured profile; and presenting the identified recommended content information to the user.
    • 一种信息处理方法,包括以下步骤:获取表示用户在内容再现期间呈现的生物特征响应的生物特征信息; 获取获得生物特征信息的每个内容的元数据; 识别与包含在所获得的元数据中的属性中的生物特征信息相关联的属性,并且在所识别的属性值不同但是用户在回放期间展现相似生物特征响应的内容的情况下识别与生物测定信息相关联的属性的不同值 不需要区分的价值; 通过将与所识别的值不相关的信息与包含在用户简档中的信息相结合来重新配置简档; 基于重新配置的配置文件识别推荐的内容; 并向用户呈现所识别的推荐内容信息。
    • 9. 发明申请
    • Chord estimation apparatus and method
    • 和弦估计装置及方法
    • US20070289434A1
    • 2007-12-20
    • US11811542
    • 2007-06-11
    • Keiichi YamadaTatsuki Kashitani
    • Keiichi YamadaTatsuki Kashitani
    • G10H1/38G10H7/00
    • G10H1/383G10H2210/076G10H2210/081G10H2250/031
    • A chord estimation apparatus includes: frequency-component extraction means for extracting a frequency component from an input music signal; scale-component information generation means for mapping the frequency component extracted by the frequency-component extraction means onto each tone and generating scale-component information including each tone and loudness thereof; folding means for folding the scale-component information generated by the scale-component information generation means for each two octaves to generate scale-component information including 24 tones; and chord estimation means for inputting the scale-component information including 24 tones into a Bayesian network in order to estimate a chord.
    • 和弦估计装置包括:频率分量提取装置,用于从输入的音乐信号中提取频率分量; 缩放分量信息产生装置,用于将由频率分量提取装置提取的频率分量映射到每个音调上,并产生包括其每个音调和响度的音阶分量信息; 折叠装置,用于折叠由每个两个八度的标度分量信息产生装置产生的比例分量信息,以产生包括24个音调的比例分量信息; 以及和弦估计装置,用于将包括24个音调的比例分量信息输入到贝叶斯网络中以估计和弦。