# 112-1 Intro to AI
Release Date: 2023/11/30
Due Date: 2023/12/12 21:00
No late submissions

## Homework 5
In this assignment, your task is to construct a deep learning model capable of distinguishing between human-recorded audio and AI-generated audio.

TA: 林青勁 [e-mail]
Authors: 謝秉翰 and 林青勁

## Instructions
Please refer to the [Github repository](https://github.com/cjlin8787/112-1-IAI-HW5) for detailed instructions

## Submission Format

#If you use colab
<student_id>_hw5     # In lowercase
├── README.md        # Any additional information you consider important (optinal)
├── hw5.ipynb        # Your copy of AI_HW5.ipynb, 
                     # not AI_HW5_generation.ipynb
├── best_model.ckpt  # The best model you trained
└── wavs             # The additional audio you generated
    ├── 0_flowavenet_auio.wav
    ├── 1_flowavenet_auio.wav
    ...

# If you directly clone the Github repository
<student_id>_hw5     # In lowercase
├── README.md        # Any additional information you consider important (optinal)
├── dataset.py
├── model.py
├── main.py
├── requirements.txt
├── best_model.ckpt  # The best model you trained
└── wavs             # The additional audio you generated
    ├── 0_flowavenet_auio.wav
    ├── 1_flowavenet_auio.wav
    ...

# Zip it and submit to NTU Cool
<student_id>_hw5.zip

# DO NOT include the training data in the zip file

## Acknowledgement
Thank Ping-Han Hsieh 謝秉翰 for helping establish the framework of this assignment.

###### tags:`1121iai`