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    • 1. 发明申请
    • FINDING PERCEPTUALLY SIMILAR MUSIC WITH PRECOMPUTATION
    • 发现与预期相似的音乐
    • WO0120483A3
    • 2004-02-19
    • PCT/US0025287
    • 2000-09-14
    • CANTAMETRIX INCWELLS MAXWELL JWALLER DAVIDDHILLON NAVDEEP S
    • WELLS MAXWELL JWALLER DAVIDDHILLON NAVDEEP S
    • G06F17/30G10H1/00
    • G06F17/30758G06F17/10G06F17/30017G06F17/30026G06F17/30743G06F17/30749G06F2213/0038G06F2216/01
    • A system is disclosed which allows people who enjoy listening to musical recordings to find new musical recordings that are similar target musical recording. The system uses a model of alikeness (105) which is based upon empirical observations of human perception of likeness between pairs of songs. The humans judge a representative sample of music (101) to build the model (105). Then other musical recordings (109) are applied to this system which extracts parameters (104) from the content of each recording and applies them to the model (105) to compute the differences between the parameters of the new recording and parameters developed for the model to place them in a data base of parameter differences (107). By allowing a user to select one of the recordings from the data base for which parameters have already been extracted, the system can efficiently work with a large number of recordings. A further efficiency improvement is achieved by precomputing differences between the target recording and other typical recordings within the data base. A large data base is efficiently managed by partitioning the data base into clusters.
    • 公开了一种允许欣赏音乐录音的人们找到类似于目标音乐录音的新音乐录音的系统。 该系统使用一个alikeness模型(105),该模型基于对人对两首歌之间相似性的感知的经验观察。 人类判断音乐的代表性样本(101)来建立模型(105)。 然后,其他音乐录音(109)被应用于从每个记录的内容中提取参数(104)的该系统,并将其应用于模型(105),以计算新记录的参数与为模型开发的参数之间的差异 将它们置于参数差异的数据库(107)中。 通过允许用户从已经提取了哪些参数的数据库中选择一个记录,系统可以有效地进行大量记录。 通过预先计算目标记录与数据库中的其他典型记录之间的差异可以进一步提高效率。 通过将数据库分区成群集,可以有效地管理大型数据库。
    • 2. 发明申请
    • MUSIC SEARCHING METHODS BASED ON HUMAN PERCEPTION
    • 基于人类认知的音乐搜索方法
    • WO0120609A2
    • 2001-03-22
    • PCT/US0025286
    • 2000-09-14
    • CANTAMETRIX INC
    • WELLS MAXWELL JWALLER DAVIDDHILLON NAVDEEP S
    • G06F17/30G11B27/00
    • G06F17/30758G06F17/10G06F17/30017G06F17/30026G06F17/30743G06F17/30749G06F2213/0038G06F2216/01
    • A method for characterizing a musical recording as a set of scalar descriptors, each of which is based on human perception. A group of people listens to a large number of musical recordings and assigns to each many scalar values, each value describing a characteristic of the music as judged by the human listeners. Typical scalar values include energy level, happiness, danceability, melodicness, tempo, and anger. Each of the pieces of music judged by the listeners is then computationally processed to extract a large number of parameters which characterize the electronic signal within the recording. Algorithms are empirically generated which correlate the extracted parameters with the judgements based on human perception to build a mode for each of the scalars of human perception. These models can then be applied to other music which has not been judged by the group of listeners to give to each piece of music a set of scalar values based on human perception. The set of scalar values can be used to find other pieces that sound similar to humans or vary in a dimension of one of the scalars.
    • 一种用于将音乐记录表征为一组标量描述符的方法,每个标量描述符基于人的感知。 一群人听大量音乐录音,并分配给每个许多标量值,每个值描述了由人类听众判断的音乐特征。 典型的标量值包括能量水平,幸福度,舞蹈能力,旋律,节奏和愤怒。 然后对由收听者判断的每首音乐进行计算处理,以提取表征记录内的电子信号的大量参数。 算法是经验生成的,其将提取的参数与基于人类感知的判断相关联,以构建人类感知的每个标量的模式。 然后,这些模型可以应用于未被听众群体判断的其他音乐,以便基于人类的感知向每首音乐提供一组标量值。 标量值的集合可以用于查找听起来类似于人类的其他部分或在其中一个标量的维度上变化。