Feature extraction and selection methods for emotion and stress recognition from natural speech / \c Yogesh Chinnakalai
This thesis aims to develop emotion/stress recognition system by using speech signals. This work mainly focuses on non-linear HOSA features, feature selection and machine learning algorithms that can represent the hidden and the minute information of emotions and stress present in speech signals ; t...
সংরক্ষণ করুন:
| প্রধান লেখক: | |
|---|---|
| সংস্থা লেখক: | |
| বিন্যাস: | গবেষণাপত্র গ্রন্থ |
| ভাষা: | English |
| প্রকাশিত: |
Perlis, Malaysia
School of Computer and Communication Engineering, Universiti Malaysia Perlis
2017
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| ট্যাগগুলো: |
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| 100 | 0 | |a Chinnakalai, Yogesh | |
| 245 | 1 | 0 | |a Feature extraction and selection methods for emotion and stress recognition from natural speech / \c Yogesh Chinnakalai |
| 264 | 1 | |a Perlis, Malaysia |b School of Computer and Communication Engineering, Universiti Malaysia Perlis |c 2017 | |
| 300 | |a xv, 112 pages |b colour illustration |c 30cm | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 338 | |a volume |b nc |2 rdacarrier | ||
| 502 | |a Thesis (Doctor of Philosophy) -- Universiti Malaysia Perlis. School of Computer and Communication Engineering, 2017 | ||
| 504 | |a Includes bibliographical references. | ||
| 520 | |a This thesis aims to develop emotion/stress recognition system by using speech signals. This work mainly focuses on non-linear HOSA features, feature selection and machine learning algorithms that can represent the hidden and the minute information of emotions and stress present in speech signals ; to investigate and identify HOSA based feature set for efficient speech emotion recognition system ; to develop optimization Based Feature Selection Algorithms (BBPSO1 and BBPSO2) to select the suitable features ; to validate the selected features from the proposed feature selection algorithms in recognizing stress/emotions from speech signals. | ||
| 541 | |a Gift from Centre for Graduate Studies (Doctor of Philosophy) |b 2018 | ||
| 710 | 2 | |a Universiti Malaysia Perlis | |
| 790 | 1 | |a School of Computer and Communication Engineering | |
| 791 | 1 | |a Doctor of Philosophy | |
| 792 | 1 | |a 2017 | |
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