Machine Learning Model Development for Classification of Audio Commands

Key Points

• The aim is to develop and evaluate CNN models for classifying spoken words in limited vocabularies.
• Developed convolutional neural network models
• Evaluated models on audio data
• Analyzed performance for classification accuracy
• Achieved high accuracy in classifying limited vocabulary spoken commands
• Demonstrated effectiveness of CNN models in audio command recognition