Abstract: Speech Emotion Recognition (SER) plays a significant role in many applications such as psychology and speech therapy, customer service, as well as human-computer interaction. We serve this ...

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...

In a dual-center cross-sectional study (N = 202), Center 1 (Capital Center for Children’s Health, Capital Medical University, n = 161) served as the development cohort and Center 2 (College of ...

Abstract: Classroom environments often struggle with maintaining optimal acoustic conditions for effective learning. Traditional monitoring methods are manual, time-consuming, and unreliable. This ...

HTK is a respected toolkit used mainly by the speech community to perform research in speech recognition. Although quite old, many newer systems emulate the same feature extraction pipeline as used in ...

Speech is one of the most efficient methods of communication among humans, inspiring advancements in machine speech processing under Natural Language Processing (NLP). This field aims to enable ...

Today, PyTorch powers everything from cutting-edge AI research to real-time production models at companies like Meta, Tesla, OpenAI, Microsoft, and Hugging Face. But this wasn’t always the case. This ...

时间序列特征提取是数据科学工作流程中的关键环节，能够将原始时间序列数据转化为具有分析价值的特征表示。本文详细介绍 18 种专业的 Python 库，这些库可用于从时间序列数据中提取关键特征，支持数据科学家进行更深入的分析与建模。 时间序列特征提取的 ...

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Previous studies have classified major depression and healthy control groups based on vocal acoustic features, but the classification accuracy needs to be improved. Therefore, this study utilized deep ...

While speech biomarkers of disease have attracted increased interest in recent years, a challenge is that features derived from signal processing or machine learning approaches may lack clinical ...