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    • 31. 发明申请
    • Framework for voice conversion
    • 语音转换框架
    • US20060235685A1
    • 2006-10-19
    • US11107344
    • 2005-04-15
    • Jani NurminenJilei TianImre Kiss
    • Jani NurminenJilei TianImre Kiss
    • G10L15/26
    • G10L13/033G10L19/0018G10L2021/0135
    • This invention relates to a framework for converting a source speech signal associated with a source voice into a target speech signal that is a representation of the source speech signal associated with a target voice. The source speech signal is encoded into samples of encoding parameters, wherein the encoding comprises the step of segmenting the source speech signal into segments based on characteristics of the source speech signal. The samples of the encoding parameters, or a converted representation of the samples of the encoding parameters are then decoded to obtain the target speech signal. Therein, in the encoding, the decoding or in a separate step, samples of parameters related to the source speech signal are converted into samples of parameters related to the target speech signal. Therein, at least one of the encoding and the converting depends on the segments of the source speech signal.
    • 本发明涉及一种用于将与源语音相关联的源语音信号转换成作为与目标语音相关联的源语音信号的表示的目标语音信号的框架。 源语音信号被编码为编码参数的采样,其中编码包括基于源语音信号的特性将源语音信号分割成段的步骤。 然后对编码参数的样本或编码参数的样本的转换表示进行解码以获得目标语音信号。 其中,在编码,解码或单独的步骤中,与源语音信号相关的参数样本被转换成与目标语音信号相关的参数的采样。 其中,编码和转换中的至少一个取决于源语音信号的段。
    • 32. 发明申请
    • Memory usage in a text-to-speech system
    • 文本到语音系统中的内存使用
    • US20060229877A1
    • 2006-10-12
    • US11100001
    • 2005-04-06
    • Jilei TianJani Nurminen
    • Jilei TianJani Nurminen
    • G10L13/06
    • G10L13/06
    • In the concatenative text-to-speech system, high compression rate of duration data in the prosodic template is achieved by extracting statistical parameters describing behavior of actual duration values of instances of each given syllable, phoneme, half-phoneme, diphone, triphone or any other basic speech unit employed, and storing only the extracted statistical parameters, instead of the original duration values. Entries of each given basic unit in the prosodic template is sorted and indexed in the order of increasing duration value. Consequently, the amount of duration data can be significantly reduced, while keeping the error statistically under acceptable range.
    • 在连续的文本到语音系统中,韵律模板中的持续时间数据的高压缩率通过提取统计参数来实现,该统计参数描述了每个给定音节,音素,半音素,聋音,三耳机或任何 使用其他基本语音单元,并且仅存储所提取的统计参数,而不是原始持续时间值。 韵律模板中每个给定基本单位的条目按照持续时间增加值的顺序进行排序和索引。 因此,持续时间数据量可以显着降低,同时将误差统计学上保持在可接受的范围内。
    • 36. 发明授权
    • Method and apparatus for providing group context sensing and inference
    • 用于提供组语境感知和推理的方法和装置
    • US09414183B2
    • 2016-08-09
    • US14375415
    • 2012-03-20
    • Wei WangHuanhuan CaoJilei TianXia Wang
    • Wei WangHuanhuan CaoJilei TianXia Wang
    • H04W4/00H04W8/24H04W4/02H04W4/08
    • H04W4/38H04W4/02H04W4/08H04W8/24
    • An approach is provided for providing group context sensing and inference. The group context platform determines at least one group of one or more devices that have one or more group contexts that are at least substantially similar, at least substantially correlated, or a combination thereof. Next, the group context platform causes, at least in part, a distribution of one or more context sensing tasks among the one or more devices of the at least one group. Then, the group context platform processes and/or facilitates a processing of one or more results of the one or more context sensing tasks to (a) modify the one or more group contexts; (b) enhance the one or more group contexts; (c) determine one or more other group contexts; or (d) a combination thereof.
    • 提供了一种用于提供组语境感知和推理的方法。 组上下文平台确定具有一个或多个组上下文至少基本相似,至少基本相关或其组合的一个或多个设备的至少一组。 接下来,组上下文平台至少部分地导致至少一个组中的一个或多个设备中的一个或多个上下文感测任务的分布。 然后,组上下文平台处理和/或促进对一个或多个上下文感测任务的一个或多个结果的处理,以(a)修改一个或多个组上下文; (b)加强一个或多个团体背景; (c)确定一个或多个其他组背景; 或(d)其组合。
    • 37. 发明授权
    • Method and apparatus for determining significant places
    • 确定重要场所的方法和装置
    • US09301114B2
    • 2016-03-29
    • US14376526
    • 2012-02-22
    • Huanhuan CaoJilei Tian
    • Huanhuan CaoJilei Tian
    • H04W64/00H04W4/18G01S5/02G06Q30/02H04W4/02
    • H04W4/185G01S5/02G06Q30/0259H04W4/021
    • An approach is provided for determining significant places with greatly improved accuracy using universally available identifier information. A significant place platform causes, at least in part, a mapping of one or more communication coverage areas associated with one or more identifiers onto at least one geo-grid, wherein the one or more identifiers are associated with at least one device operating within at least one communication network. The significant place platform further processes the one or more identifiers to determine one or more significance scores associated with one or more grid units of the at least one geo-grid. The significant place platform also determines at least one significant place based, at least in part, on the one or more significance scores.
    • 提供了一种用于使用普遍可用的标识符信息来确定大大提高精度的重要位置的方法。 至少部分地,将一个或多个与一个或多个标识符相关联的通信覆盖区域映射到至少一个地理格栅上,其中所述一个或多个标识符与在其中操作的至少一个设备相关联, 至少一个通信网络。 重要的地方平台进一步处理一个或多个标识符以确定与至少一个地理格网的一个或多个网格单元相关联的一个或多个重要性得分。 重要的地方平台还至少在一个或多个显着性得分上确定至少一个重要的地位。
    • 38. 发明授权
    • Method and apparatus for providing hub-based indexing and services
    • 用于提供基于集线器的索引和服务的方法和装置
    • US09294878B2
    • 2016-03-22
    • US14379976
    • 2012-02-29
    • Jilei TianHuanhuan CaoZhen Liu
    • Jilei TianHuanhuan CaoZhen Liu
    • H04W4/02H04W4/18H04L29/08H04W88/02
    • H04W4/023H04L67/20H04L67/306H04L67/325H04W4/029H04W4/18H04W88/02
    • An approach is provided for providing hub-based indexing and services. The hub-based platform causes, at least in part, an indexing of location-based content according to one or more location hubs of one or more transportation lines, Next, the hub-based platform determines a current proximity, a predicted proximity, or a combination thereof of one or more devices to the one or more location hubs, wherein the one or more devices are (a) traveling on the one or more transportation lines, (b) predicted to travel on the one or more transportation lines, or (c) a combination thereof. Then, the hub-based platform causes, at least in part, a presentation of at least a portion of the location-based content based, at least in part, on the current proximity, the predicted proximity, or a combination thereof.
    • 提供了一种提供基于中心的索引和服务的方法。 基于集线器的平台至少部分地导致根据一个或多个传输线的一个或多个位置集线器对基于位置的内容进行索引。接下来,基于集线器的平台确定当前接近度,预测的接近度,或者 一个或多个设备的组合到所述一个或多个位置轮毂,其中所述一个或多个设备是(a)在所述一条或多条运输线路上行驶,(b)预测在所述一条或多条运输线路上行驶,或 (c)其组合。 然后,基于集线器的平台至少部分地至少部分地基于当前接近度,预测接近度或其组合来呈现基于位置的内容的至少一部分。
    • 39. 发明申请
    • METHOD AND APPARATUS FOR PROVIDING TRANSPORTATION BASED RECOMMENDER SYSTEM
    • 提供基于运输的推荐系统的方法和装置
    • US20150208203A1
    • 2015-07-23
    • US14409567
    • 2012-06-25
    • Huanhuan CaoJilei Tian
    • Huanhuan CaoJilei Tian
    • H04W4/02G06F17/30H04M1/725
    • G06F16/29G06F16/9537H04M1/72569H04M1/72572H04W4/029
    • An approach for recommending location-based content items that account for locations with ease of access based on available transportation options is described. A content recommender platform determines one or more predicted locations of a user based, at least in part, on an ease of access from a location associated with the use. The content recommender platform determines one or more location-based content items associated with the one or more predicted locations, the location, or a combination thereof. The content recommender platform determines one or more recommended content items from among the one or more location-based content items. In this way, the recommended content items may be easily accessible and may accord with the user's preferences.
    • 描述了一种基于可用的交通选项来推荐基于位置的内容项目以便于访问的位置的方法。 至少部分地,内容推荐器平台基于来自与使用相关联的位置的容易性来确定用户的一个或多个预测位置。 内容推荐器平台确定与一个或多个预测位置,位置或其组合相关联的一个或多个基于位置的内容项。 内容推荐器平台从一个或多个基于位置的内容项中确定一个或多个推荐内容项。 以这种方式,推荐的内容项目可以容易地访问并且可以符合用户的偏好。
    • 40. 发明授权
    • Hybrid approach in voice conversion
    • 语音转换中的混合方法
    • US08224648B2
    • 2012-07-17
    • US11966255
    • 2007-12-28
    • Jilei TianVictor PopaJani Kristian Nurminen
    • Jilei TianVictor PopaJani Kristian Nurminen
    • G01L13/06
    • G10L21/00G10L2021/0135
    • A hybrid approach is described for combining frequency warping and Gaussian Mixture Modeling (GMM) to achieve better speaker identity and speech quality. To train the voice conversion GMM model, line spectral frequency and other features are extracted from a set of source sounds to generate a source feature vector and from a set of target sounds to generate a target feature vector. The GMM model is estimated based on the aligned source feature vector and the target feature vector. A mixture specific warping function is generated each set of mixture mean pairs of the GMM model, and a warping function is generated based on a weighting of each of the mixture specific warping functions. The warping function can be used to convert sounds received from a source speaker to approximate speech of a target speaker.
    • 描述了混合方法,用于组合频率扭曲和高斯混合建模(GMM),以实现更好的扬声器身份和语音质量。 为了训练语音转换GMM模型,从一组源声音中提取线谱频率和其他特征以产生源特征向量和从一组目标声音生成目标特征向量。 基于对齐的源特征向量和目标特征向量来估计GMM模型。 每个GMM模型的混合均值对都产生混合特定的翘曲函数,并且基于每个混合特定翘曲函数的加权产生翘曲函数。 翘曲功能可用于将从源扬声器接收的声音转换为目标扬声器的近似语音。