以軟體為基礎建構語音增強系統使用者介面

Development of a software-based User-Interface of Speech Enhancement System

本研究的目的在發展以軟體為基準的語音增強系統使用者介面，提供使用者一個快速且便於操作的輔助工具。此使用者平台包含傳統的方法和基於機器學習發展的語音增強演算法，使用者可以針對不同的噪音類型選擇演算法。處理後的語音除了可從介面上取得語音波形圖與聲譜圖的結果，還可播放與儲存處理後的語音。本研究選用TMHINT混車噪音與嬰兒哭聲做為驗證的測試語料。從結果與PESQ顯示，傳統的方式可有效的降低車噪音，但無法有效的降低嬰兒哭聲；而機器學習方式除了可降低車噪音，也可以有效的降低嬰兒噪音。

The topic is to develop a user interface of speech enhancement in this study. This system includes of typical and based-on machine learning algorithm and provides a convenient and user-friendly interface. User can obtain waveform and spectrogram of enhancement speech and play and restore the enhancement speech in this interface. TMHINT database with car noise or baby crying is used to test this noise reduction system. The results show that typical methods are only capable to reduce car noise, but the methods based-on machine learning could reduce both of these two noise.