Speech-textual emotion recognition through deep learning: Survey

سال انتشار: 1401
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 190

فایل این مقاله در 5 صفحه با فرمت PDF قابل دریافت می باشد

این مقاله در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

DCBDP07_038

تاریخ نمایه سازی: 7 خرداد 1401

چکیده مقاله:

Human Emotion Recognition (HER) is one of the challenging components of Human Computer Interaction (HCI). Nowadays the fields of HCI and deep learning are being increasingly used to extract emotions. This would make it possible for people to survive and be used in across-the-board fields, including education and medicine. Several fields, such as pattern recognition and Artificial Intelligence (AI), have used the emotion recognition scheme for building Human-Machine Interaction [۱]. This paper presents an overview of Emotion Recognition through speech signals variation and text semantics. Moreover, the paper brings into light the limitations associated with these methods and briefly discusses the privileges of combining these domains together

نویسندگان

Hanieh Ghorbani

Azarbaijan Shahid Madani University Tabriz, Iran

Nacer Farajzadeh

Azarbaijan Shahid Madani University Tabriz, Iran