论文标题
ASYA：使用深度学习的正念言语交流
asya: Mindful verbal communication using deep learning
论文作者
论文摘要
ASYA是一个由深度学习模型组成的移动应用程序，该模型分析了人类声音的光谱并进行噪声检测，扬声器诊断，性别检测，节奏估计和仅使用声音对情绪进行分类。所有模型都是语言不可知论的，并且能够实时运行。我们的扬声器诊断模型在测试数据集上的准确性超过95％。这些模型可用于各种领域，例如改善客户服务，有效的对话，心理学和夫妻疗法。
asya is a mobile application that consists of deep learning models which analyze spectra of a human voice and do noise detection, speaker diarization, gender detection, tempo estimation, and classification of emotions using only voice. All models are language agnostic and capable of running in real-time. Our speaker diarization models have accuracy over 95% on the test data set. These models can be applied for a variety of areas like customer service improvement, sales effective conversations, psychology and couples therapy.
