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    • 13. 发明申请
    • SYSTEM AND METHOD FOR RECOGNIZING ENVIRONMENTAL SOUND
    • 用于识别环境声音的系统和方法
    • WO2012121809A1
    • 2012-09-13
    • PCT/US2012/022383
    • 2012-01-24
    • QUALCOMM INCORPORATEDHWANG, Kyu WoongKIM, TaesuYOU, Kisun
    • HWANG, Kyu WoongKIM, TaesuYOU, Kisun
    • G10L11/00G10L15/10G10L15/20
    • G10L15/10G10L15/20G10L25/00
    • A method for recognizing an environmental sound in a client device in cooperation with a server is disclosed. The client device includes a client database having a plurality of sound models of environmental sounds and a plurality of labels, each of which identifies at least one sound model. The client device receives an input environmental sound and generates an input sound model based on the input environmental sound. At the client device, a similarity value is determined between the input sound model and each of the sound models to identify one or more sound models from the client database that are similar to the input sound model. A label is selected from labels associated with the identified sound models, and the selected label is associated with the input environmental sound based on a confidence level of the selected label.
    • 公开了一种与服务器协作来识别客户端设备中的环境声音的方法。 客户端设备包括具有环境声音的多个声音模型的客户端数据库和多个标签,每个标签识别至少一个声音模型。 客户端设备接收输入环境声音,并根据输入的环境声音生成输入声音模型。 在客户机设备处,在输入声音模型和每个声音模型之间确定相似性值,以从客户端数据库识别类似于输入声音模型的一个或多个声音模型。 从与识别的声音模型相关联的标签中选择标签,并且所选择的标签基于所选标签的置信水平与输入的环境声音相关联。
    • 14. 发明申请
    • KEYWORD MODEL GENERATION FOR DETECTING USER-DEFINED KEYWORD
    • 用于检测用户定义的关键字的KEYWORD模型生成
    • WO2015160586A1
    • 2015-10-22
    • PCT/US2015/024873
    • 2015-04-08
    • QUALCOMM INCORPORATED
    • YUN, SungrackKIM, Taesu
    • G10L15/07G10L15/08G10L15/22
    • G10L15/02G10L15/07G10L2015/027G10L2015/088G10L2015/226
    • According to an aspect of the present disclosure, a method for generating a keyword model of a user-defined keyword in an electronic device is disclosed. The method includes receiving at least one input indicative of the user-defined keyword, determining a sequence of subwords from the at least one input, generating the keyword model associated with the user-defined keyword based on the sequence of subwords and a subword model of the subwords, wherein the subword model is configured to model a plurality of acoustic features of the subwords based on a speech database, and providing the keyword model associated with the user-defined keyword to a voice activation unit configured with a keyword model associated with a predetermined keyword.
    • 根据本公开的一个方面,公开了一种用于在电子设备中生成用户定义的关键字的关键字模型的方法。 该方法包括接收指示用户定义的关键字的至少一个输入,从至少一个输入确定子词序列,基于子词序列生成与用户定义关键词相关联的关键字模型,以及子词模型 所述子词,其中所述子词模型被配置为基于语音数据库对所述子词的多个声学特征建模,以及将与所述用户定义的关键字相关联的关键词模型提供给配置有与所述关键字模型相关联的关键词模型的语音激活单元 预定关键词
    • 16. 发明申请
    • METHOD AND DEVICE FOR IDENTIFYING A PIECE OF MUSIC IN AN AUDIO STREAM
    • 用于识别音频流中的音乐的方法和装置
    • WO2015105893A1
    • 2015-07-16
    • PCT/US2015/010504
    • 2015-01-07
    • QUALCOMM INCORPORATED
    • KIM, TaesuLEE, MinsubCHO, Jun-Cheol
    • H04H60/37H04H60/58
    • G06F3/165H04H60/37H04H60/58H04L67/10
    • A method, performed in an electronic device, for tracking a piece of music in an audio stream is disclosed. The method may receive a first portion of the audio stream and extract a first sound feature based on the first portion of the audio stream. Also, the method may determine whether the first portion of the audio stream is indicative of music based on the first sound feature. In response to determining that the first portion of the audio stream is indicative of music, a piece of music may be identified based on the first portion of the audio stream. Further, upon receiving a second portion of the audio stream, the method may extract a second sound feature based on the second portion of the audio stream and determine whether the second portion of the audio stream is indicative of the first piece of music.
    • 公开了一种在电子设备中执行的用于跟踪音频流中的一段音乐的方法。 该方法可以接收音频流的第一部分,并且基于音频流的第一部分提取第一声音特征。 此外,该方法可以基于第一声音特征来确定音频流的第一部分是否指示音乐。 响应于确定音频流的第一部分指示音乐,可以基于音频流的第一部分来识别音乐片段。 此外,在接收到音频流的第二部分时,该方法可以基于音频流的第二部分提取第二声音特征,并且确定音频流的第二部分是否指示第一音乐。