I Built an AI That Can Tell If You’re Talking to a Robot or a Real Person

1. 1Collect a dataset of human speech and voicemail messages
2. 2Preprocess audio data using mel-spectrograms
3. 3Build a CNN model to classify speech patterns
4. 4Train and test the model using the collected dataset
5. 5Evaluate the model's performance using metrics such as accuracy and F1-score

Data scientists and AI engineers can benefit from this tutorial to improve their speech recognition models, while product managers can apply this technology to develop more human-like chatbots

💡 Mel-spectrograms can be used as input features for CNNs to effectively classify human speech from voicemail messages

🤖 Build a speech classifier to detect human speech vs voicemail messages using CNNs and mel-spectrograms! 📊