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Look inside
Voice assistants and speech-based applications need a reliable understanding of human commands. Deep learning systems trained on audio data are a great way for models to learn directly from sound and easily classify what humans are telling them.
In this liveProject, you’ll become a data scientist prototyping a speech command system for a medical organization. Your company’s application will allow hospital patients to adjust their room TVs with their voice, and you’ve been tasked with building the core: a machine learning pipeline that can label audio inputs with given command words. You’ll tackle preprocessing and feature engineering methods for audio signals, expand your existing machine learning capabilities with audio data, and get hands-on experience with TensorFlow, Keras, and other powerful Python deep learning tools.
In this liveProject, you’ll become a data scientist prototyping a speech command system for a medical organization. Your company’s application will allow hospital patients to adjust their room TVs with their voice, and you’ve been tasked with building the core: a machine learning pipeline that can label audio inputs with given command words. You’ll tackle preprocessing and feature engineering methods for audio signals, expand your existing machine learning capabilities with audio data, and get hands-on experience with TensorFlow, Keras, and other powerful Python deep learning tools.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
liveProject mentor Stefano Masneri shares what he likes about the Manning liveProject platform.
prerequisites
This liveProject is for confident Python programmers with existing experience in machine learning. It will hone your skills for handling the uncommon audio data type, and constructing deep learning pipelines. To begin this liveProject, you will need to be familiar with:TOOLS
- Intermediate Python
- Intermediate NumPy
- Intermediate pandas
- Intermediate Matplotlib
- Intermediate TensorFlow
- Intermediate Keras
- Basics of data analysis
- Basics of supervised machine learning
- Classification problems and suitable quality metrics
- Supervised training of artificial neural networks
features
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- You choose the schedule and decide how much time to invest as you build your project.
- Project roadmap
- Each project is divided into several achievable steps.
- Get Help
- While within the liveProject platform, get help from fellow participants and even more help with paid sessions with our expert mentors.
- Compare with others
- For each step, compare your deliverable to the solutions by the author and other participants.
- book resources
- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
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Recognize Speech Commands with Deep Learning project for free
Recognize Speech Commands with Deep Learning project for free
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- choose twelve free products per year
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Recognize Speech Commands with Deep Learning project for free
