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CUMULATIVE AVERAGE SPECTRAL ENTROPY ANALYSIS FOR TONE AND SPEECH CLASSIFICATION

机译:音调和语音分类的累积平均光谱熵分析

摘要

A contact center system for performing call progress analysis including tone and speech classification according to an embodiment includes at least one processor and at least one memory comprising a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the contact center system to determine a cumulative average of an entropy of an audio signal received by the contact center system, determine a cumulative average power spectral amplitude and a cumulative average spectral entropy of the audio signal, calculate a difference measure of the audio signal as a difference between the cumulative average of the entropy and the cumulative average spectral entropy, distinguish tones from speech of the audio signal based on the difference measure, and process one or more tones of the audio signal in response to identification of the one or more tones in the audio signal.
机译:根据实施例的用于执行呼叫进度分析的联系中心系统包括至少一个处理器和至少一个存储器,包括存储在其上的多个指令,其响应于由至少一个处理器执行而导致 联系中心系统确定由联络中心系统接收的音频信号的熵的累积平均值,确定累积平均功率谱幅度和音频信号的累积平均频谱熵,计算音频信号的差分度量 熵和累积平均光谱熵的累积平均值之间的差异,基于差分测量来区分音频信号的语音,并响应于识别一个或多个音调的音频信号的一个或多个音调 音频信号。

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