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    • 6. 发明授权
    • Melody recognition systems
    • 旋律识别系统
    • US09569532B1
    • 2017-02-14
    • US14300600
    • 2014-06-10
    • Google Inc.
    • Matthew SharifiDominik RoblekVera DronIoannis Agiomyrgiannakis
    • H04N5/92G06F17/30
    • G06F17/3082G06F17/30758G06F17/30787G10H1/0008G10H1/368G10H2240/075G10H2240/135G10H2240/141
    • Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting, from among a collection of videos, a set of candidate videos that (i) are identified as being associated with a particular song, and (ii) are classified as a cappella video recordings; extracting, from each of the candidate videos of the set, a monophonic melody line from an audio channel of the candidate video; selecting, from among the set of candidate videos, a subset of the candidate videos based on a similarity of the monophonic melody line of the candidate videos of the subset with each other; and providing, to a recognizer that recognizes songs from sounds produced by a human voice, (i) an identifier of the particular song, and (ii) one or more of the monophonic melody lines of the candidate videos of the subset.
    • 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于从视频集合中选择一组候选视频,所述一组候选视频被识别为与特定歌曲相关联,以及(ii) 被列为无伴奏视频录像; 从所述候选视频的音频频道中提取来自所述组的每个候选视频的单声道旋律线; 基于所述子集的候选视频的单声道旋律线的相似度,从所述一组候选视频中选择所述候选视频的子集; 以及提供识别器,其识别由人类声音产生的声音的歌曲,(i)特定歌曲的标识符,以及(ii)该子集的候选视频的一个或多个单声道旋律线。
    • 7. 发明授权
    • Audio matching based on harmonogram
    • 基于音调的音频匹配
    • US09501568B2
    • 2016-11-22
    • US14980622
    • 2015-12-28
    • Gracenote, Inc.
    • Zafar Rafii
    • G06F17/00G06F17/30G10L25/18G10L25/21G10L25/45G10L25/54G10L25/72
    • G06F17/30755G06F17/3033G06F17/30743G06F17/30778G10H2210/066G10H2240/141G10H2250/031G10L25/18G10L25/21G10L25/45G10L25/54G10L25/72
    • In an example context of identifying live audio, an audio processor machine accesses audio data that represents a query sound and creates a spectrogram from the audio data. Each segment of the spectrogram represents a different time slice in the query sound. For each time slice, the audio processor machine determines one or more dominant frequencies and an aggregate energy value that represents a combination of all the energy for that dominant frequency and its harmonics. The machine creates a harmonogram by representing these aggregate energy values at these dominant frequencies in each time slice. The harmonogram thus may represent the strongest harmonic components within the query sound. The machine can identify the query sound by comparing its harmonogram to other harmonograms of other sounds and may respond to a user's submission of the query sound by providing an identifier of the query sound to the user.
    • 在识别实时音频的示例上下文中,音频处理器机器访问表示查询声音的音频数据,并从音频数据创建频谱图。 光谱图的每个片段表示查询声音中不同的时间片。 对于每个时间片,音频处理器机器确定一个或多个主要频率和表示该主频率的所有能量及其谐波的组合的总能量值。 机器通过在每个时间片中以这些主要频率表示这些总能量值来创建一个谐波图。 因此,谐波图可以表示查询声音中最强的谐波分量。 该机器可以通过将其谐波图与其他声音的其他谐波图进行比较来识别查询声音,并且可以通过向用户提供查询声音的标识符来响应用户的查询声音的提交。
    • 8. 发明申请
    • AUDIO MATCHING BASED ON HARMONOGRAM
    • 基于和声的音频匹配
    • US20160196343A1
    • 2016-07-07
    • US14980622
    • 2015-12-28
    • Gracenote, Inc.
    • Zafar Rafii
    • G06F17/30G10L25/45G10L25/72G10L25/21G10L25/18G10L25/54
    • G06F17/30755G06F17/3033G06F17/30743G06F17/30778G10H2210/066G10H2240/141G10H2250/031G10L25/18G10L25/21G10L25/45G10L25/54G10L25/72
    • In an example context of identifying live audio, an audio processor machine accesses audio data that represents a query sound and creates a spectrogram from the audio data. Each segment of the spectrogram represents a different time slice in the query sound. For each time slice, the audio processor machine determines one or more dominant frequencies and an aggregate energy value that represents a combination of all the energy for that dominant frequency and its harmonics. The machine creates a harmonogram by representing these aggregate energy values at these dominant frequencies in each time slice. The harmonogram thus may represent the strongest harmonic components within the query sound. The machine can identify the query sound by comparing its harmonogram to other harmonograms of other sounds and may respond to a user's submission of the query sound by providing an identifier of the query sound to the user.
    • 在识别实时音频的示例上下文中,音频处理器机器访问表示查询声音的音频数据,并从音频数据创建频谱图。 光谱图的每个片段表示查询声音中不同的时间片。 对于每个时间片,音频处理器机器确定一个或多个主要频率和表示该主频率的所有能量及其谐波的组合的总能量值。 机器通过在每个时间片中以这些主要频率表示这些总能量值来创建一个谐波图。 因此,谐波图可以表示查询声音中最强的谐波分量。 该机器可以通过将其谐波图与其他声音的其他谐波图进行比较来识别查询声音,并且可以通过向用户提供查询声音的标识符来响应用户的查询声音的提交。
    • 10. 发明授权
    • Music piece order determination device, music piece order determination method, and music piece order determination program
    • 音乐作品顺序确定装置,音乐作品顺序确定方法和音乐作品顺序确定程序
    • US09245508B2
    • 2016-01-26
    • US14540144
    • 2014-11-13
    • JVC KENWOOD CORPORATION
    • Masato Sugano
    • G10H7/00G10H1/40G06F17/30
    • G10H1/40G06F17/30772G10H2210/125G10H2220/086G10H2240/141G10H2240/325G10H2250/035
    • A beat information corrector acquires beat position information including information regarding a point of time when a beat is reproduced, acquires a tempo value indicating a number of beats per unit time in a music piece, and corrects the beat position information of the music piece so that the tempo value of the music piece be a same value as the reference value. A correlation value calculator calculates a correlation value, which indicates a degree of correlation of beat position information between respective music pieces among a plurality of the music pieces, based on the corrected beat position information. A music piece order determiner determines a music piece order as a reproduction order of music pieces, which are to be reproduced successively, so that a product or total sum of the correlation values between the music pieces be at a maximum or an approximate solution thereof.
    • 节拍信息校正器获取包括关于再现节拍的时间点的信息的节拍位置信息,获取表示音乐片段中每单位时间的节拍数的速度值,并校正音乐片段的节拍位置信息,使得 乐曲的速度值与参考值相同。 相关值计算器基于校正的拍子位置信息来计算指示多个乐曲中的各个乐曲之间的节拍位置信息的相关程度的相关值。 音乐作品顺序确定器将音乐作品顺序确定为连续再现的音乐片段的再现顺序,使得音乐片段之间的相关值的乘积或总和为最大值或其近似解。