Recognize Speech Commands with Deep Learning you own this product

prerequisites
intermediate Python, NumPy, pandas, Matplotlib,Tensorflow, and Keras • basics of machine learning and deep learning
skills learned
performing digital audio processing • extracting spectral features from raw audio data • building deep learning architectures for audio
Vamsi Sistla
4 weeks · 3-5 hours per week · INTERMEDIATE
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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.
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.

project author

Vamsi Sistla
Vamsi Sistla is a proven leader in data science and applied AI. He has experience in managing large-scale projects and teams in data engineering, ML operations, and ML modeling. He has helped in developing and implementing enterprise AI strategy. He has experience in building distributed machine learning workflows using Apache Spark, DASK, Rapids and Kubernetes. Currently, he is working at Nike, Inc. as Director of Reusable Features and ML Models. In the past he has done 2 startups, and also has a master’s in data sciences (MIDS) from the University of California, Berkeley.

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
TECHNIQUES
  • Basics of data analysis
  • Basics of supervised machine learning
  • Classification problems and suitable quality metrics
  • Supervised training of artificial neural networks

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