Speech based emotional and depressive mental state prediction using Gaussian Process state-space models

使用高斯过程状态空间模型进行基于语音的情绪和抑郁心理状态预测

• 批准号: 15K00243
• 负责人: Markov Konstantin
• 金额: $ 3万
• 依托单位: The University of Aizu
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2015
• 资助国家: 日本
• 起止时间: 2015-04-01 至 2018-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-15K00243/
• 关键词: Speech emotion; Neural Networks; Gaussian Process; Personality Recogniition; Music emotion; Personality Recognition; Speech Emotion; State-Space Model; Particle filter

项目成果

Robust Speech Recognition Using Generalized Distillation Framework

• DOI: 10.21437/interspeech.2016-852
• 发表时间: 2016-09
• 期刊: 2023 IEEE International Symposium on Circuits and Systems (ISCAS)
• 作者: K. Markov;T. Matsui

Articulatory and Spectrum Features Integration using Generalized Distillation Framework

使用通用蒸馏框架集成发音和频谱特征

• 发表时间: 2016
• 作者: J.Yu;K.Markov;T.Matsui
• 通讯作者: T.Matsui

Modern Methodology and Applications in Spatial-Temporal Modeling, Chapter 3

现代方法论及其在时空建模中的应用，第 3 章

• 发表时间: 2015
• 作者: Konstantin Markov;Tomoko Matsui
• 通讯作者: Tomoko Matsui

Dynamic Speech Emotion Recognition with State-Space Models

使用状态空间模型的动态语音情感识别

• DOI: 10.1109/eusipco.2015.7362750
• 发表时间: 2015
• 期刊: Signal Processing Conference (EUSIPCO), 2015 23rd European
• 作者: Konstantin Markov;Tomoko Matsui;Francois Septier;and Gareth. W. Peters
• 通讯作者: and Gareth. W. Peters