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1. 发明授权

US09547715B2 Methods and apparatus for detecting a repetitive pattern in a sequence of audio frames 有权
标题翻译：用于检测音频帧序列中的重复模式的方法和装置
公开(公告)号：US09547715B2
公开(公告)日：2017-01-17
申请号：US13564302
申请日：2012-08-01
申请人： Lie Lu , Bin cheng
发明人： Lie Lu , Bin cheng
IPC分类号： G06F17/30 , G10L25/51 , G10L25/03 , G10L25/45
CPC分类号： G06F17/30743 , G10L25/03 , G10L25/45 , G10L25/51
摘要： Methods and apparatus for detecting a repetitive pattern in a sequence of audio frames are described. Similarity values of a first similarity matrix with first resolution for the sequence are calculated. An adaptive threshold is estimated from the similarity values for classifying the similarity values into repetition or non-repetition. For each of one or more offsets of a second similarity matrix with second resolution higher that the first resolution, similarity values of the second similarity matrix corresponding to the offset are calculated. Then the calculated similarity values are binarized with the adaptive threshold to obtain binarized data. Finally, the repetitive pattern is detected from the binarized data. The requirement on memory may be reduced because less data are stored in detecting the repetitive pattern.
摘要翻译：描述了用于检测音频帧序列中的重复模式的方法和装置。计算具有序列的第一分辨率的第一相似矩阵的相似度值。从相似性值估计自适应阈值，用于将相似度值分类为重复或非重复。对于具有第二分辨率高于第一分辨率的第二相似度矩阵的一个或多个偏移中的每一个，计算与偏移相对应的第二相似度矩阵的相似度值。然后将所计算的相似度值用自适应阈值二值化，以获得二值化数据。最后，从二值化数据中检测重复模式。可以减少对存储器的要求，因为在检测重复模式时存储较少的数据。

2. 发明申请

US20130046399A1 Methods and Apparatus for Detecting a Repetitive Pattern in a Sequence of Audio Frames 有权
标题翻译：用于检测音频帧序列中的重复模式的方法和装置
公开(公告)号：US20130046399A1
公开(公告)日：2013-02-21
申请号：US13564302
申请日：2012-08-01
申请人： Lie Lu , Bin cheng
发明人： Lie Lu , Bin cheng
IPC分类号： G06F17/00
CPC分类号： G06F17/30743 , G10L25/03 , G10L25/45 , G10L25/51
摘要： Methods and apparatus for detecting a repetitive pattern in a sequence of audio frames are described. Similarity values of a first similarity matrix with first resolution for the sequence are calculated. An adaptive threshold is estimated from the similarity values for classifying the similarity values into repetition or non-repetition. For each of one or more offsets of a second similarity matrix with second resolution higher that the first resolution, similarity values of the second similarity matrix corresponding to the offset are calculated. Then the calculated similarity values are binarized with the adaptive threshold to obtain binarized data. Finally, the repetitive pattern is detected from the binarized data. The requirement on memory may be reduced because less data are stored in detecting the repetitive pattern.
摘要翻译：描述了用于检测音频帧序列中的重复模式的方法和装置。计算具有序列的第一分辨率的第一相似矩阵的相似度值。从相似性值估计自适应阈值，用于将相似度值分类为重复或非重复。对于具有第二分辨率高于第一分辨率的第二相似度矩阵的一个或多个偏移中的每一个，计算与偏移相对应的第二相似度矩阵的相似度值。然后将所计算的相似度值用自适应阈值二值化，以获得二值化数据。最后，从二值化数据中检测重复模式。可以减少对存储器的要求，因为在检测重复模式时存储较少的数据。

3. 发明授权

US08892231B2 Audio classification method and system 有权
标题翻译：音频分类方法和系统
公开(公告)号：US08892231B2
公开(公告)日：2014-11-18
申请号：US13591466
申请日：2012-08-22
申请人： Bin Cheng , Lie Lu
发明人： Bin Cheng , Lie Lu
IPC分类号： G06F17/00 , G10L21/00 , G10L25/81 , G10L25/51 , G10L19/20
CPC分类号： G10L25/81 , G10L19/20 , G10L25/51
摘要： Embodiments for audio classification are described. An audio classification system includes at least one device which executes a process of audio classification on an audio signal. The at least one device can operate in at least two modes requiring different resources. The audio classification system also includes a complexity controller which determines a combination and instructs the at least one device to operate according to the combination. For each of the at least one device, the combination specifies one of the modes of the device, and the resources requirement of the combination does not exceed maximum available resources. By controlling the modes, the audio classification system has improved scalability to an execution environment.
摘要翻译：描述音频分类的实施例。音频分类系统包括执行音频信号上的音频分类处理的至少一个设备。至少一个设备可以以至少两种需要不同资源的模式运行。音频分类系统还包括复杂度控制器，其确定组合并指示至少一个设备根据该组合进行操作。对于至少一个设备中的每一个，组合指定设备的一种模式，并且组合的资源需求不超过最大可用资源。通过控制模式，音频分类系统改进了对执行环境的可扩展性。

4. 发明申请

US20130058488A1 Audio Classification Method and System 有权
标题翻译：音频分类方法和系统
公开(公告)号：US20130058488A1
公开(公告)日：2013-03-07
申请号：US13591466
申请日：2012-08-22
申请人： Bin Cheng , Lie Lu
发明人： Bin Cheng , Lie Lu
IPC分类号： H04R29/00
CPC分类号： G10L25/81 , G10L19/20 , G10L25/51
摘要： Embodiments for audio classification are described. An audio classification system includes at least one device which executes a process of audio classification on an audio signal. The at least one device can operate in at least two modes requiring different resources. The audio classification system also includes a complexity controller which determines a combination and instructs the at least one device to operate according to the combination. For each of the at least one device, the combination specifies one of the modes of the device, and the resources requirement of the combination does not exceed maximum available resources. By controlling the modes, the audio classification system has improved scalability to an execution environment.
摘要翻译：描述音频分类的实施例。音频分类系统包括执行音频信号上的音频分类处理的至少一个设备。至少一个设备可以以至少两种需要不同资源的模式运行。音频分类系统还包括复杂度控制器，其确定组合并指示至少一个设备根据该组合进行操作。对于至少一个设备中的每一个，组合指定设备的一种模式，并且组合的资源需求不超过最大可用资源。通过控制模式，音频分类系统改进了对执行环境的可扩展性。

5. 发明授权

US08116746B2 Technologies for finding ringtones that match a user's hummed rendition 有权
标题翻译：找到匹配用户嗡嗡声演绎的铃声的技术
公开(公告)号：US08116746B2
公开(公告)日：2012-02-14
申请号：US11712707
申请日：2007-03-01
申请人： Lie Lu , Yutao Xie , Xing Xie , Jiafan Ou , Ruihao Weng
发明人： Lie Lu , Yutao Xie , Xing Xie , Jiafan Ou , Ruihao Weng
IPC分类号： H04M3/42
CPC分类号： H04M19/04 , G06F17/30743 , G06F17/30758 , G06F17/30864 , G10H2210/056 , G10H2230/021 , H04M3/02 , H04W4/14 , H04W4/16 , H04W88/02
摘要： Described is a technology by which a user hums, sings or otherwise plays a user-provided rendition of a ringtone (or ringback tone) through a mobile telephone to a ringtone search service (e.g., a WAP, interactive voice response or SMS-based search platform). The service matches features of the user's rendition against features of actual ringtones to determine one or more matching candidate ringtones for downloading. Features may include pitch contours (up or down), pitch intervals and durations of notes. Matching candidates may be ranked based on the determined similarity, possibly in conjunction with weighting criterion such as the popularity of the ringtone and/or the importance of the matched part. The candidate set may be augmented with other ringtones independent of the matching, such as the most popular ones downloaded by other users, ringtones from similar artists, and so forth.
摘要翻译：描述了一种用户通过移动电话哼唱，唱歌或以其他方式播放用户提供的铃声（或回铃音）到铃声搜索服务（例如，WAP，交互式语音响应或基于SMS的搜索）的技术平台）。该服务将用户的再现特征与实际铃声的特征相匹配，以确定用于下载的一个或多个匹配的候选铃声。功能可能包括音高轮廓（上或下），音高间隔和音符持续时间。匹配的候选者可以基于所确定的相似度来排序，可能与诸如铃声的普及度和/或匹配部分的重要性的加权标准相结合。候选集可以用独立于匹配的其他铃声进行增强，诸如由其他用户下载的最流行的，来自类似的艺术家的铃声等等。

6. 发明申请

US20080319973A1 RECOMMENDING CONTENT USING DISCRIMINATIVELY TRAINED DOCUMENT SIMILARITY 有权
标题翻译：使用分歧培训的文档类似的建议内容
公开(公告)号：US20080319973A1
公开(公告)日：2008-12-25
申请号：US11765653
申请日：2007-06-20
申请人： Albert J.K. Thambiratnam , Frank T.B. Seide , Peng Yu , Lie Lu
发明人： Albert J.K. Thambiratnam , Frank T.B. Seide , Peng Yu , Lie Lu
IPC分类号： G06F17/30
CPC分类号： G06F17/30722 , G06F17/30616
摘要： A generalized discriminative training framework for reconciling the training and evaluation objectives for document similarity is provided. Prior information about document relations and non-relations, are used to discriminatively train an ensemble of document similarity classification models. This result is a model set that can be used to compute similarity between seen documents in the training sets and new documents. The measure of similarity forms the basis of recommending documents to a user as well as being able to obtain metadata information such as keywords and tags for new documents not having such information.
摘要翻译：提供了一种用于协调文档相似性的培训和评估目标的广义歧视性培训框架。关于文档关系和非关系的先前信息被用于区分性地训练文档相似性分类模型的整体。该结果是可用于计算训练集中的文档和新文档之间的相似性的模型集。相似性度量形成向用户推荐文档的基础，并且能够获得元数据信息，例如不具有这种信息的新文档的关键字和标签。

7. 发明授权

US07336890B2 Automatic detection and segmentation of music videos in an audio/video stream 有权
标题翻译：在音频/视频流中自动检测和分割音乐视频
公开(公告)号：US07336890B2
公开(公告)日：2008-02-26
申请号：US10370314
申请日：2003-02-19
申请人： Lie Lu , Yan-Feng Sun , Mingjing Li , Xian-Sheng Hua , Hong-Jiang Zhang
发明人： Lie Lu , Yan-Feng Sun , Mingjing Li , Xian-Sheng Hua , Hong-Jiang Zhang
IPC分类号： H04N7/00 , H04N5/91 , H04N5/93 , G06K9/46 , G10L11/00 , G06F15/173
CPC分类号： H04H60/37 , G06F17/30787 , G06F17/30796 , G06K9/00711 , G11B27/034 , G11B27/28 , G11B2220/218 , G11B2220/2545 , G11B2220/2562 , H04H60/58 , H04H60/59 , H04H60/74 , H04N5/147 , H04N5/4401 , H04N5/602 , H04N21/4332 , H04N21/4394 , H04N21/44008 , H04N21/44204 , H04N21/8456
摘要： A “music video parser” automatically detects and segments music videos in a combined audio-video media stream. Automatic detection and segmentation is achieved by integrating shot boundary detection, video text detection and audio analysis to automatically detect temporal boundaries of each music video in the media stream. In one embodiment, song identification information, such as, for example, a song name, artist name, album name, etc., is automatically extracted from the media stream using video optical character recognition (OCR). This information is then used in alternate embodiments for cataloging, indexing and selecting particular music videos, and in maintaining statistics such as the times particular music videos were played, and the number of times each music video was played.
摘要翻译： “音乐视频解析器”自动检测并分割组合的音频 - 视频媒体流中的音乐视频。通过集成镜头边界检测，视频文本检测和音频分析来自动检测和分割，可以自动检测媒体流中每个音乐视频的时间边界。在一个实施例中，使用视频光学字符识别（OCR）从媒体流中自动提取歌曲识别信息，例如歌曲名称，歌手姓名，专辑名称等。然后，将该信息用于编目，索引和选择特定音乐视频以及维持诸如特定音乐视频播放的时间的统计数据以及播放每个音乐视频的次数的备选实施例。

8. 发明申请

US20070112583A1 Learning-Based Automatic Commercial Content Detection 失效
标题翻译：基于学习的自动商业内容检测
公开(公告)号：US20070112583A1
公开(公告)日：2007-05-17
申请号：US11623304
申请日：2007-01-15
申请人： Xian-Sheng Hua , Lie Lu , Mingjing Li , Hong-Jiang Zhang
发明人： Xian-Sheng Hua , Lie Lu , Mingjing Li , Hong-Jiang Zhang
IPC分类号： G06Q10/00
CPC分类号： G06K9/00711
摘要： Systems and methods for learning-based automatic commercial content detection are described. In one aspect, the systems and methods include a training component and an analyzing component. The training component trains a commercial content classification model using a kernel support vector machine. The analyzing component analyzes program data such as video and audio data using the commercial content classification model and one or more of single-side left neighborhood(s) and right neighborhood(s) of program data segments. Based on this analysis, each of the program data segments are classified as being commercial or non-commercial segments.
摘要翻译：描述了基于学习的自动商业内容检测的系统和方法。一方面，系统和方法包括训练组件和分析组件。训练组件使用内核支持向量机训练商业内容分类模型。分析组件使用商业内容分类模型和程序数据段的单侧左邻居和右邻居中的一个或多个来分析诸如视频和音频数据的程序数据。基于此分析，每个程序数据段被分类为商业或非商业领域。

9. 发明申请

US20070094251A1 Automated rich presentation of a semantic topic 有权
标题翻译：自动丰富的语义主题演示
公开(公告)号：US20070094251A1
公开(公告)日：2007-04-26
申请号：US11256411
申请日：2005-10-21
申请人： Lie Lu , Wei-Ying Ma , Zhiwei Li
发明人： Lie Lu , Wei-Ying Ma , Zhiwei Li
IPC分类号： G06F17/30
CPC分类号： G06F17/30705 , G06F17/30056
摘要： Automated rich presentation of a semantic topic is described. In one aspect, respective portions of multimodal information corresponding to a semantic topic are evaluated to locate events associated with the semantic topic. The probability that a document belongs to an event is determined based on document inclusion of one or more of persons, times, locations, and keywords, and document distribution along a timeline associated with the event. For each event, one or more documents objectively determined to be substantially representative of the event are identified. One or more other types of media (e.g., video, images, etc.) related to the event are then extracted from the multimodal information. The representative documents and the other media are for presentation to a user in a storyboard.
摘要翻译：描述了语义主题的自动丰富呈现。在一个方面，评估与语义主题相对应的多模态信息的相应部分，以定位与语义主题相关联的事件。基于文档包含一个或多个人，时间，位置和关键字以及与事件相关联的时间轴的文档分发来确定文档属于事件的概率。对于每个事件，识别客观地确定为基本上代表事件的一个或多个文档。然后从多模态信息中提取与事件相关的一个或多个其他类型的媒体（例如，视频，图像等）。代表性文件和其他媒体用于向故事板中的用户呈现。

10. 发明申请

US20060048634A1 Beat analysis of musical signals 有权
公开(公告)号：US20060048634A1
公开(公告)日：2006-03-09
申请号：US11264327
申请日：2005-11-01
申请人： Lie Lu , Hong-Jiang Zhang
发明人： Lie Lu , Hong-Jiang Zhang
IPC分类号： G10H7/00
CPC分类号： G10H1/40 , G10H2210/076 , G10H2210/391 , G10H2240/325 , G10H2250/135 , G10H2250/285
摘要： A system that analyzes music to detect musical beats and to rectify beats that are out of sync with the actual beat phase of the music. The music analysis includes onset detection, tempo/meter estimation, and beat analysis, which includes the rectification of out-of-sync beats.

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