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bagustris authored May 12, 2022
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## Research Theme

My research goals aimed at extracting knowledge from acoustic information (aka acoustic features). The examples of this theme are: speech emotion recognition, abnormal sound detection, and audio classication. Moreover, the research can be extended to vibration signal. My approaches to achieve these goal are defined by: (1) data-driven approach (instead of physical modeling), (2) focus on practical implemention (not necessary to follow human mechanism), and robustness (how stable/consistent the model given any perturbation instead of correctness). For me, science should be evidence-based, able to be implemented and consistent. My research is result-oriented instead of process-oriented. It doesn't mean that process (physical phenomena, modeling, math, and algorithms) is not important. If we understand the process very well, the solution may appears by itself. However, I judge my research mainly based on the results. My research contributes to developing technologies to solve issues in Society 5.0 (What is Society 5.0? [Read here in Indonesian language](http://bagustris.blogspot.com/2022/04/menuju-masyarakat-50-melalui-riset-dan.html)).
My research goals aimed at extracting knowledge from acoustic information (aka acoustic features). The examples of this theme are: speech emotion recognition, abnormal sound detection, and audio classication. Moreover, the research can be extended to vibration signal. My approaches to achieve these goal are defined by: (1) data-driven approach (instead of physical modeling), (2) focus on practical implemention (not necessary to follow human mechanism), and robustness (how stable/consistent the model given any perturbation instead of correctness). For me, science should be evidence-based, able to be implemented and consistent. My research is result-oriented instead of process-oriented. It doesn't mean that process (physical phenomena, modeling, math, and algorithms) is not important. If we understand the process very well, the solution may appears by itself. Still, there is must be a reason (rationale) for doing such reaserch. Then, I judge my research mainly based on the results. My research contributes to developing technologies to solve issues in Society 5.0 (What is Society 5.0? [Read here in Indonesian language](http://bagustris.blogspot.com/2022/04/menuju-masyarakat-50-melalui-riset-dan.html)).

<!---![research_concept](images/research_concept.png) --->
[research_concept_iot](images/research_concept_iot.png)
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~~7. Abnormal sound detection for predictive maitenance (the method is from you/your idea), dataset: DCASE~~
8. Indonesian emotional Speech synthesis Using FastSpeech
~~9. COVID-19 diagnosis using COUGH sound with deep learning~~
10. COVID-19 diagnosis using SPEECH sound with deep learning, dataset: ComPare CSS 2021
10. COVID-19 diagnosis using SPEECH sound with deep learning, dataset: ComParE CSS 2021
11. Predicting pathological voice disorder with speech processing technique, dataset: SVD, Voiced, HUPA
12. Detecting of emotion intensity of non-speech sound (laughter, crying, etc.)
13. Detecting/predicting stuttering (bahasa: gagap) in speech with machine learning
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