Sound, rhythm, melody and UX
Rhythm and melody and the autonomic nervous system
As discussed in ‘Emotions, the autonomic nervous system an...
音声信号認識技術
Pre-processing for speech recognition
Pre-processing for speech recognition
Speech recognition preprocessing is the step of converting speech data...
Extraction of emotions through speech and image recognition, natural language processing and biometric analysis
Introduction
Various models for emotion recognition have been proposed, as described in "Emotion recognition...
Graph Neural Network
Features and Applications of Graph Neural Networks
Graph data, as described in "Graph Data Processing Algor...
How to detect emotions using artificial intelligence techniques
How to detect emotions using artificial intelligence techniques
There are several ways to use artificial in...
Automatic generation by machine learning
Automatic Generation by Machine Learning
Automatic generation through machine learning would be one in whic...
Overview of the topic model and various implementations
Topic Model Overview
The topic model will be a statistical model for automatically extracting topics (them...
Overview and how to create a speech recognition system
Overview of Speech Recognition Systems
A speech recognition system (Speech Recognition System) is a technolo...
Protected: Support Vector Machines for Weak Label Learning (2) Multi-Instance Learning
Extension of support vector machines utilized for digital transformation, artificial intelligence, and machine learning tasks; multi-instance learning approach with SVMs for weak-label learning problems (mi-SVM, MI-SVM)
Protected: Support Vector Machines for Weak Label Learning (1) Semi-supervised Learning
Weak label learning (semi-supervised learning where label information is given only for a subset of training cases) as an application of support vector machines utilized in digital transformation, artificial intelligence, and machine learning tasks