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Developing a speech sentiment classification system using artificial intelligence
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인공지능을 활용한 음성 감정 분류 시스템 개발

논문 기본 정보

Type
Proceeding
Author
Seonggeon Yun (국립안동대학교) Jungeun Ji (국립안동대학교) Jinhyeon Park (국립안동대학교) Yunhee Jeong (국립안동대학교) EunjJu Park (국립안동대학교) Hankyu Lim (안동대학교)
Journal
Korean Institute of Information Technology Proceedings of KIIT Conference The Proceedings of the 2023 KIIT Autumn Conference
Published
2023.11
Pages
721 - 724 (4page)

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Developing a speech sentiment classification system using artificial intelligence
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Abstract· Keywords

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In this paper, we propose an emotion analysis AI model using voice data for communicatiuon with the deaf. The AI-based model, which includes CNN and Transformer, focuses on analyzing the user’s voice in real time to classify emotions. In the design and implementation process, the features in the voice are converted into images through STFT and MFCC conversion methods, and the AI model is trained based on the converted images.
#CNN #Transformer #short Term Spectral Analysis #Mel-Frequency Cepstral Coefficients #Emotion Detection

Contents

요약
Abstract
Ⅰ. 서론
Ⅱ. 관련연구
Ⅲ. 설계 목적 및 과정
Ⅳ. 결론
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