KEYWORD VARIATION FOR QUERYING FOREIGN LANGUAGE AUDIO RECORDINGS

    公开(公告)号:US20240202234A1

    公开(公告)日:2024-06-20

    申请号:US18555077

    申请日:2022-06-23

    CPC classification number: G06F16/632 G06F16/683 G10L15/005 G10L15/08

    Abstract: Techniques are disclosed for searching audio recordings in a second language with a key phrase in a first language. For example, a system as described herein receives a first key phrase in the first language and an audio recording in the second language. The system converts the first key phrase into a second key phrase in the second language. The system processes the second key phrase to produce a second key phrase variant. The system identifies, from a graph of words in the second language generated from the audio recording, instances of the second key phrase or the second key phrase variant within the audio recording. The system displays the identified instances of the second key phrase or the second key phrase variant within the audio recording to enhance searchability of the audio recording in the second language.

    METHOD AND APPARATUS FOR CLASSIFYING LEXICAL STRESS
    3.
    发明申请
    METHOD AND APPARATUS FOR CLASSIFYING LEXICAL STRESS 有权
    用于分类LEXICAL STRESS的方法和装置

    公开(公告)号:US20150170644A1

    公开(公告)日:2015-06-18

    申请号:US14320152

    申请日:2014-06-30

    CPC classification number: G10L15/1807 G10L25/24 G10L25/48

    Abstract: A method for classifying lexical stress in an utterance includes generating a feature vector representing stress characteristics of a syllable occurring in the utterance, wherein the feature vector includes a plurality of features based on prosodic information and spectral information, computing a plurality of scores, wherein each of the plurality of scores is related to a probability of a given class of lexical stress, and classifying the lexical stress of the syllable based on the plurality of scores.

    Abstract translation: 用于对话语中的词汇应力进行分类的方法包括生成表示在话语中出现的音节的应力特征的特征向量,其中特征向量包括基于韵律信息和频谱信息的多个特征,计算多个分数,其中每个 多个分数与一定类别的词汇应力的概率相关,并且基于多个分数对音节的词汇应力进行分类。

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