| 課程編碼 Course Code | 中文課程名稱 Course Name (Chinese) | 英文課程名稱 Course Name (English) | 總學分數 Credits | 總時數 Hours |
|---|---|---|---|---|
| 3604162 | 語音辨識與人機互動 | Speech Recognition and Human-Machine Interaction | 3.0 | 3 |
| 中文概述 Chinese Description | 本課程將引導學生了解語音辨識在人機互動應用上所牽涉的各種技術，包括語音訊號分析、音素/音節辨識、字詞辨識、連續語音辨識、語意辨識、語者辨識、語言辨識、語音合成等，其中也介紹動態時間伸縮與音高比對方法、隱藏式馬可夫模型、類神經網路與深度學習、語者與環境調適、語言模型等方法理論，配合「問題導向學習」之教學模式，進行分組討論、實作練習、企業參訪、與成果觀摩及報告，激發學生之創造與創新能力。 | |||
| 英文概述 English Description | This course guides students to learn the techniques involved in the human-machine interaction based on speech recognition, including speech signal analysis, phoneme/syllable recognition, word recognition, continuous speech recognition, semantic recognition, speaker recognition, language recognition, speech synthesis. The theoretical fundamentals on dynamic time warping, hidden Markov model, neural network/deep learning, speaker and environment adaptation, language modeling, etc. are also introduced. In addition, the course is designed with the Problem-Based Learning (PBL) method, which includes group discussion and collaboration on working projects, corporate visit, and project presentation, etc., so that students' capabilities of creativity and innovation can be developed or enhanced. | |||
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