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Categorizing Audio Calls Based on Machine Learning Models

机译:基于机器学习模型对音频调用进行分类

摘要

Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives a set of audio files. Each audio file in the set of audio files includes audio from an audio call. The program further truncates each audio file in the set of audio files to a defined call length. For each audio call in the set of audio calls, the program also receives a transcript of the audio call based on the audio file of the audio call. For each audio call in the set of audio calls, the program further uses the transcript of the audio call as input to a machine learning model for the machine learning model to predict a category from a plurality of categories that is associated with the audio call.
机译:一些实施例提供了一种存储程序的非暂时性机器可读介质。 该程序收到一组音频文件。 该组音频文件中的每个音频文件包括来自音频呼叫的音频。 该程序还将每个音频文件中的每个音频文件截断到定义的呼叫长度。 对于该组音频呼叫中的每个音频呼叫,该程序还基于音频呼叫的音频文件接收音频呼叫的转录器。 对于该组音频呼叫中的每个音频呼叫,该程序还将音频呼叫的转录器作为输入到机器学习模型的机器学习模型中,以预测来自与音频呼叫相关联的多个类别的类别。

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