2021-09

機械学習:Machine Learning

Protected: Application of Hidden Markov Models to Speech Recognition

Overview of hidden Markov models (HMMs) for speech recognition for use in digital transformation and artificial intelligence tasks (Baum-Welch algorithm, Viterbi algorithm, EM algorithm, CDHMM).
機械学習:Machine Learning

Protected: Speech Recognition: Overview and Application of Dynamic Programming (DP)

Overview of speech recognition techniques that can be used for digital transformation and artificial intelligence tasks, and recognition techniques using dynamic programming (DP) methods (DP matching, beam search, word spotting, two-stage DP matching, level building method, one-pass DP matching)
機械学習:Machine Learning

Protected: Speech Analysis:AD transform, analytical window, Fourier transform and vector quantization

Pre-processing of speech recognition for digital transformation and artificial intelligence tasks, from AD conversion to feature extraction and vector quantization
機械学習:Machine Learning

Dealing with the meaning of symbols on a computer

An overview of the steps to handle the meaning of symbols in computers used for digital transformation and artificial intelligence tasks.
推論技術:inference Technology

Protected: Object Detection:Sliding Window Method and Negative Example Sequential Selection with Exampler-SVM, R-CNN

Various classifiers for object detection (Sliding Window Method and Negative Example Sequential Selection and Exampler-SVM, R-CNN) for digital transformation and artificial intelligence tasks.
音声信号認識技術

Protected: Natural Language and Voice

An overview of phonetic models of natural language as a basis for speech recognition technology to be used in digital transformation and artificial intelligence tasks.
python

Introduction to programming in the Python language (1) What is programming?

Basic mechanism and history of progming and computers
python

Python and Machine Learning

Overview of Python, a programming language used in digital transformation , artificial intelligence , and machine learning
機械学習:Machine Learning

Protected: From Averages to Individuality: The Open World of Statistical Modeling (2)hierarchical Bayesian model

From the Statistics of Means to the Statistics of Individuality Estimation with Bayesian Modeling
機械学習:Machine Learning

Protected: From Averages to Individuality: The Open World of Statistical Modeling (1)Statistical Model Overview

From statistics of averages to statistics of personality, using Bayesian modeling, Hierarchical Bayes
Exit mobile version
タイトルとURLをコピーしました