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AUDIO-BASED USER STATE IDENTIFICATION METHOD AND APPARATUS, AND ELECTRONIC DEVICE AND STORAGE MEDIUM

机译:基于音频的用户状态识别方法和装置,以及电子设备和存储介质

摘要

An audio-based user state identification method and apparatus, and an electronic device and a computer-readable storage medium. The method comprises: acquiring an audio training set, and performing feature conversion on each piece of audio in the audio training set so as to obtain a target sonogram set (S1); on the basis of an attention mechanism and small sample learning, training a pre-constructed deep learning network model by using the target sonogram set so as to obtain a user state identification model (S2); when audio of a user to be subjected to identification is received, performing feature conversion on the audio of said user so as to obtain a sonogram to be subjected to identification (S3); and identifying said sonogram by using the user state identification model so as to obtain a user state identification result (S4). In addition, the present application further relates to blockchain technology, and the audio training set can be stored in a blockchain. By using the method, the consumption of data resources is reduced, and the practicability of a model is enhanced.
机译:基于音频的用户状态识别方法和装置,以及电子设备和计算机可读存储介质。该方法包括:获取音频训练集,并在音频训练集中的每条音频上执行特征转换,以便获得目标声音图组(S1);在注意机制和小样本学习的基础上,通过使用目标超声图设置预构造的深度学习网络模型,以便获得用户状态识别模型(S2);当接收到要进行识别的用户的音频时,在所述用户的音频上执行特征转换,以便获得要进行识别的超声图(S3);通过使用用户状态识别模型来识别所述超声图,以便获得用户状态识别结果(S4)。另外,本申请还涉及区块链技术,并且音频训练集可以存储在区块链中。通过使用该方法,减少了数据资源的消耗,并且增强了模型的实用性。

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