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篇名 語音選課系統之研究
卷期 11:2
並列篇名 THE STUDY OF SPEECH COURSE SELECTION SYSTEM
作者 李御璽許期翔陳家瑋楊承翰張鈞凱顏秀珍王立天
頁次 059-082
關鍵字 命名實體識別語音辨識選課系統Course Selection SystemNamed Entity RecognitionSpeech Recognition
出刊日期 202401

中文摘要

目前台灣各地大專院校的選課系統還是依賴著傳統的檢索方式,將自己所要尋找條件,使用手動輸入或是利用選單做搜尋和選課。對於一些上肢不便或對學校課程架構不熟悉的同學,無疑是一大困擾。而選課在大學生涯中必定會接觸到。因此,擁有一個方便且有效率的選課系統,對於學生來說是有益的,這樣就更加奠定一個好的選課系統的重要性。相較於傳統選課系統,我們的目標是透過在任何裝置上都可以使用的延展性網頁,結合學校選課系統的資料,並用語音檢索的方式做搜尋,不再以手動輸入或是使用選單的方式進行。同時,在適當的時候給予使用者引導和指示,讓不熟悉系統的使用者,一樣可以友善使用我們提供的服務。也讓整個選課的環境更加簡單和有效率。本研究計畫的目的是建立一個精準的語音查詢選課系統。我們將使用語音的方式進行選課,以克服傳統選課的問題。把複雜的搜尋過程變為簡單。並整合學校選課系統的資料庫,和開放原始碼的API及工具,解決語音轉換成文本所隱含的同音不同字的問題,完成正確率高且效率快的語音選課系統。

英文摘要

Currently, the course selection system in various universities and colleges in Taiwan still relies on traditional search methods, where students manually input or use drop-down menus to search and select courses based on their preferences. This poses a challenge for students who are physically disabled or not familiar with the course structure. Course selection is an important aspect of university life, and having a convenient and efficient system is beneficial to students. Compared to traditional course selection systems, our goal is to create an extendable web-based system that can be used on any device. Our system will integrate with the school's course selection database and use voice search to overcome the limitations of manual input or drop-down menus. Additionally, we will provide user guidance and instructions to ensure that even users unfamiliar with the system can use it comfortably, making the entire course selection environment simpler and more efficient. The purpose of this research project is to establish a precise voice query course selection system that integrates with the school's course selection system. By using voice search, we aim to simplify the complex search process and overcome the limitations of traditional course selection systems. We will integrate the school's course selection database with open-source APIs and tools to solve the problem of homophones in speech-to-text conversion, resulting in a highly accurate and efficient voice course selection system.

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