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    • 1. 发明申请
    • System and method for inferring similarities between media objects
    • 用于推断媒体对象之间的相似性的系统和方法
    • US20060080356A1
    • 2006-04-13
    • US10965604
    • 2004-10-13
    • Chris BurgesCormac HerleyJohn Platt
    • Chris BurgesCormac HerleyJohn Platt
    • G06F17/00
    • G06F16/40
    • A “similarity quantifier” automatically infers similarity between media objects which have no inherent measure of distance between them. For example, a human listener can easily determine that a song like Solsbury Hill by Peter Gabriel is more similar to Everybody Hurts by R.E.M. than it is to Highway to Hell by AC/DC. However, automatic determination of this similarity is typically a more difficult problem. This problem is addressed by using a combination of techniques for inferring similarities between media objects thereby facilitating media object filing, retrieval, classification, playlist construction, etc. Specifically, a combination of audio fingerprinting and repeat object detection is used for gathering statistics on broadcast media streams. These statistics include each media objects identity and positions within the media stream. Similarities between media objects are then inferred based on the observation that objects appearing closer together in an authored stream are more likely to be similar.
    • “相似性量词”自动推断媒体对象之间的相似性,它们之间没有固有的距离度量。 例如,人类听众可以很容易地确定Peter Gabriel的Solsbury Hill歌曲更像R.E.M的“Everybody Hurts”。 比起AC / DC到高速公路到地狱。 然而,这种相似性的自动确定通常是更困难的问题。 通过使用用于推断媒体对象之间的相似性的技术的组合来解决该问题,从而便于媒体对象归档,检索,分类,播放列表构造等。具体地,使用音频指纹和重复对象检测的组合来收集广播媒体上的统计信息 流。 这些统计信息包括媒体流中每个媒体对象的身份和位置。 然后根据观察结果推断媒体对象之间的相似性,即在作者流中更靠近在一起的对象更有可能是类似的。
    • 2. 发明授权
    • System and method for automatically customizing a buffered media stream
    • 自动定制缓冲媒体流的系统和方法
    • US07826708B2
    • 2010-11-02
    • US10980683
    • 2004-11-02
    • Cormac HerleyJohn PlattChris BurgesErin Renshaw
    • Cormac HerleyJohn PlattChris BurgesErin Renshaw
    • H04N5/91
    • H04H60/06H04H20/10H04N7/17318H04N21/23406H04N21/23424H04N21/25891H04N21/2668H04N21/44004H04N21/44016H04N21/44222H04N21/4755Y10S707/99934
    • A “media stream customizer” customizes buffered media streams by inserting one or more media objects into the stream to maintain an approximate buffer level. Specifically, when media objects such as songs, jingles, advertisements, etc., are deleted from the buffered stream (based on some user specified preferences), the buffer level will decrease. Therefore, over time, as more objects are deleted, the amount of the media stream being buffered continues to decrease, thereby limiting the ability to perform additional deletions from the stream. To address this limitation, the media stream customizer automatically chooses one or more media objects to insert back into the stream, and ensures that the inserted objects are consistent with any surrounding content of the media stream, thereby maintaining an approximate buffer level. In addition, the buffered content can also be stretched using pitch preserving audio stretching techniques to further compensate for deletions from the buffered stream.
    • “媒体流定制器”通过将一个或多个媒体对象插入流来定制缓冲媒体流,以维持近似的缓冲器级别。 特别地,当缓冲流(基于一些用户指定的偏好))删除诸如歌曲,歌曲,广告等的媒体对象时,缓冲器级别将减小。 因此,随着时间的推移,随着更多的对象被删除,缓冲的媒体流的数量继续减少,从而限制了从流中执行附加删除的能力。 为了解决这个限制,媒体流定制器自动选择一个或多个媒体对象来插入到流中,并确保所插入的对象与媒体流的任何周围内容一致,从而保持近似的缓冲器级别。 此外,缓冲内容还可以使用音高保持音频拉伸技术进行拉伸,以进一步补偿来自缓冲流的缺失。
    • 5. 发明授权
    • System and method for automatically customizing a buffered media stream
    • 自动定制缓冲媒体流的系统和方法
    • US07526181B2
    • 2009-04-28
    • US10987365
    • 2004-11-12
    • Chris BurgesCormac Herley
    • Chris BurgesCormac Herley
    • H04N5/94
    • H04H60/06H04H20/10H04N7/17318H04N21/23406H04N21/23424H04N21/25891H04N21/2668H04N21/44004H04N21/44016H04N21/44222H04N21/4755Y10S707/99934
    • A “media stream customizer” customizes buffered media streams by inserting one or more media objects into the stream to maintain an approximate buffer level. Specifically, when media objects such as songs, jingles, advertisements, etc., are deleted from the buffered stream (based on some user specified preferences), the buffer level will decrease. Therefore, over time, as more objects are deleted, the amount of the media stream being buffered continues to decrease, thereby limiting the ability to perform additional deletions from the stream. To address this limitation, the media stream customizer automatically chooses one or more media objects to insert back into the stream, and ensures that the inserted objects are consistent with any surrounding content of the media stream, thereby maintaining an approximate buffer level. In addition, the buffered content can also be stretched using pitch preserving audio stretching techniques to further compensate for deletions from the buffered stream.
    • “媒体流定制器”通过将一个或多个媒体对象插入流来定制缓冲媒体流,以维持近似的缓冲器级别。 特别地,当缓冲流(基于一些用户指定的偏好))删除诸如歌曲,歌曲,广告等的媒体对象时,缓冲器级别将减小。 因此,随着时间的推移,随着更多的对象被删除,缓冲的媒体流的数量继续减少,从而限制了从流中执行附加删除的能力。 为了解决这个限制,媒体流定制器自动选择一个或多个媒体对象来插入到流中,并确保所插入的对象与媒体流的任何周围内容一致,从而保持近似的缓冲器级别。 此外,缓冲内容还可以使用音高保持音频拉伸技术进行拉伸,以进一步补偿来自缓冲流的缺失。
    • 6. 发明授权
    • Constructing a table of music similarity vectors from a music similarity graph
    • 从音乐相似图构建音乐相似性矢量表
    • US07777125B2
    • 2010-08-17
    • US10993109
    • 2004-11-19
    • John PlattErin RenshawMax ChickeringCormac Herley
    • John PlattErin RenshawMax ChickeringCormac Herley
    • G10H7/00
    • G06F17/30758G06F17/30749G06F17/30761G06F17/30772G06K9/6251G10H2240/091G10H2240/135G10H2240/155G10H2250/005Y10S707/99933Y10S707/99935Y10S707/99943
    • A “Music Mapper” automatically constructs a set coordinate vectors for use in inferring similarity between various pieces of music. In particular, given a music similarity graph expressed as links between various artists, albums, songs, etc., the Music Mapper applies a recursive embedding process to embed each of the graphs music entries into a multi-dimensional space. This recursive embedding process also embeds new music items added to the music similarity graph without reembedding existing entries so long a convergent embedding solution is achieved. Given this embedding, coordinate vectors are then computed for each of the embedded musical items. The similarity between any two musical items is then determined as either a function of the distance between the two corresponding vectors. In various embodiments, this similarity is then used in constructing music playlists given one or more random or user selected seed songs or in a statistical music clustering process.
    • “音乐映射器”自动构建用于推断各种音乐之间相似度的集合坐标矢量。 特别地,音乐映射器给出一种表示为各种艺术家,专辑,歌曲等之间的链接的音乐相似图,音乐映射器应用递归嵌入过程,将每个图形音乐条目嵌入到多维空间中。 这种递归嵌入过程也将添加到音乐相似图中的新音乐项目嵌入,而不需要重新嵌入现有条目,所以实现了一种融合嵌入解决方案。 给定这个嵌入,然后为每个嵌入的音乐项目计算坐标矢量。 然后将任何两个音乐作品之间的相似度确定为两个对应矢量之间的距离的函数。 在各种实施例中,然后将该相似性用于构造给定一个或多个随机或用户选择的种子歌曲或统计音乐聚类过程中的音乐播放列表。
    • 7. 发明申请
    • Constructing a table of music similarity vectors from a music similarity graph
    • 从音乐相似图构建音乐相似性矢量表
    • US20060107823A1
    • 2006-05-25
    • US10993109
    • 2004-11-19
    • John PlattErin RenshawMax ChickeringCormac Herley
    • John PlattErin RenshawMax ChickeringCormac Herley
    • G10H7/00
    • G06F17/30758G06F17/30749G06F17/30761G06F17/30772G06K9/6251G10H2240/091G10H2240/135G10H2240/155G10H2250/005Y10S707/99933Y10S707/99935Y10S707/99943
    • A “Music Mapper” automatically constructs a set coordinate vectors for use in inferring similarity between various pieces of music. In particular, given a music similarity graph expressed as links between various artists, albums, songs, etc., the Music Mapper applies a recursive embedding process to embed each of the graphs music entries into a multi-dimensional space. This recursive embedding process also embeds new music items added to the music similarity graph without reembedding existing entries so long a convergent embedding solution is achieved. Given this embedding, coordinate vectors are then computed for each of the embedded musical items. The similarity between any two musical items is then determined as either a function of the distance between the two corresponding vectors. In various embodiments, this similarity is then used in constructing music playlists given one or more random or user selected seed songs or in a statistical music clustering process.
    • “音乐映射器”自动构建用于推断各种音乐之间相似度的集合坐标矢量。 特别地,音乐映射器给出一种表示为各种艺术家,专辑,歌曲等之间的链接的音乐相似图,音乐映射器应用递归嵌入过程,将每个图形音乐条目嵌入到多维空间中。 这种递归嵌入过程也将添加到音乐相似图中的新音乐项目嵌入,而不需要重新嵌入现有条目,所以实现了一种融合嵌入解决方案。 给定这个嵌入,然后为每个嵌入的音乐项目计算坐标矢量。 然后将任何两个音乐作品之间的相似度确定为两个对应矢量之间的距离的函数。 在各种实施例中,然后将该相似性用于构造给定一个或多个随机或用户选择的种子歌曲或统计音乐聚类过程中的音乐播放列表。