readme: ---
  datasets:
  - SHD-2
  tags:
  - audio
  - audio-classificaiton
  - shower detection
  metrics:
  - Accuracy 
  
  ---
  
  **Context**
  
  Most of our great brilliant ideas happen in periods of relaxation, like taking a
  shower, however, once we leave the shower, we forget the brilliant idea. What if
  we do not forget, and collect your ideas in the shower?
  
  **What is the Shower Ideas concept?**
  
  This is an app that detects when someone is taking a shower (douche) and asks
  “do you have any idea?”, and the person will speak while taking the shower telling
  the idea. And also will ask questions after taking a shower.
  
  **Abstract about the model**
  
  This model was trained based on *facebook/wav2vec2-base-960h* (which is a pretrained model on 960 hours of Librispeech on 16kHz sampled speech audio.) in order to classify the audio input into shower or no_shower. 
  
  **Dataset**
  
  The SHD-2 dataset is a labeled collection of 2260 audio recordings of shower and no shower sounds.
  
  The dataset consists of 6-second-long recordings organized into 2 classes (with 1130 examples per class).
  
  # Usage
  In order to use the model in your Python script just copy the following code:
  ```python
  from transformers import pipeline
  
  audio_input = 'example.wav'
  classifier = pipeline("audio-classification", model="abdelhalim/Shower_Sound_Recognition")
  labels = classifier(audio_input)
  labels
  
   ```