After obtaining my Deep Learning certification from DeepLearning.AI, I put my new skills into practice by embarking on an ambitious project. Thus, I developed a trigger word detection system, named โ๐๐ซ๐ข๐ ๐ ๐๐ซ ๐๐จ๐ซ๐ ๐๐๐ญ๐๐๐ญ๐ข๐จ๐งโ.
This project aimed to identify, in MP3 audio files, the presence of a specific word pronounced by the speaker. I chose to focus on the word โ๐๐จ๐ฒโ.
Thanks to a GRU-based model (Gated Recurrent Unit) that I trained, I achieved a remarkable accuracy of 95.50%.
I invite you to explore the GitHub repository: GitHub - Mouaadag/trigger-words-detection: Build a model with tensorflow to trigger a word on a mp3 files. , where I detail the steps of data preparation, feature extraction, and the construction and training of the model.
I would like to express my gratitude to the DeepLearning.AI team for the exceptional quality of their training, and a special thanks to Andrew Ng for his courses and his clear and inspiring way of conveying Deep Learning concepts.