The folder contains the Final Project in Introduction to Digital Signal Processing class at NTU in 2019-1 semester, with the following files: - Introduction File: Introduction.pdf - Report File: Project Report.word/ Porject Report.pdf - Parameter setting: weight.pth - Coding File: r08921053_model.ipynb - database Folder: train folder/ val folder/ test.tar(containing test.npy) One program and one report in this project, and the description of project is in "Introduction.pdf". This project is to classify 19 kinds of sound provided randomly. I prefer to use "jupyter notebook" to operate this program. Program training: use the data in train folder and val folder Project input: test.npy Project output: result01.csv ----------------------------------------------------------------------------------- 這個資料夾包含了數位訊號處理導論在台大2019-1學期的期末專題, 有下列的檔案: - 簡介檔案: Introduction.pdf - 報告檔案: Project Report.word/ Porject Report.pdf - 參數設定: weight.pth - 編碼檔案: r08921053_model.ipynb - 資料檔案: train folder/ val folder/ test.tar(包含test.npy) 一個程式和一份報告在這個專題, 而專題的描述在"Introduction.pdf"裡面. 這個專題是用來分辨19種隨機提供的聲音. 我偏好使用"jupyter notebook"來執行這個程式. 程式訓練: 使用在train資料夾和val資料夾內的資料 程式輸入: test.npy 程式輸出: result01.csv