Protected: Language Models in Speech Recognition
Language models (n-gram models and probabilistic models) used in speech recognition for digital transformation and artificial intelligence tasks.
音声信号認識技術
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).
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)
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
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.
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.