Speech Emotion Recognition Using Deep Learning Transfer Models and Explainable Techniques
TW Kim, KC Kwak - Applied Sciences, 2024 - mdpi.com
This study aims to establish a greater reliability compared to conventional speech emotion
recognition (SER) studies. This is achieved through preprocessing techniques that reduce …
recognition (SER) studies. This is achieved through preprocessing techniques that reduce …
LMAC-TD: Producing Time Domain Explanations for Audio Classifiers
Neural networks are typically black-boxes that remain opaque with regards to their decision
mechanisms. Several works in the literature have proposed post-hoc explanation methods …
mechanisms. Several works in the literature have proposed post-hoc explanation methods …
딥러닝전이학습모델과설명가능기법들을이용한음성감정인식
김태완 - 2024 - oak.chosun.ac.kr
Speech emotion analysis and recognition using deep learning and explainable method Kim,
Tae-Wan Advisor: Prof. Kwak, Keun Chang, Ph. D. Dept. of Electronic Engineering …
Tae-Wan Advisor: Prof. Kwak, Keun Chang, Ph. D. Dept. of Electronic Engineering …
[PDF][PDF] Sp1NY: A Quick and Flexible Speech visualisation Tool in Python
In this submission, we describe Sp1NY, a Python toolkit to visualise and annotate speech.
Inspired by Praat and music notation software, we designed Sp1NY to be accessible and …
Inspired by Praat and music notation software, we designed Sp1NY to be accessible and …