Audio Event Detection
In this problem, you will use a deep learning approach to detect audio events in a given audio clip. You will need to use a pre-trained model and fine-tune it on a dataset of labeled audio clips.
**Example:** Given an audio clip, detect the presence of a specific audio event (e.g. a dog barking).
**Constraints:** The input audio clip is a 10-second WAV file, and the model should output a binary classification (0 or 1) indicating the presence or absence of the audio event.
**Note:** You can use the Librosa library to load and preprocess the audio data, and the PyTorch library to build and train the model.
Test Cases
Test Case 1
Input:
audio_clip.wavExpected:
0.9Test Case 2
Input:
audio_clip2.wavExpected:
0.8+ 3 hidden test cases