• Stretch the limits of machine learning by learning how graphical models provide an insight on particular problems, especially in high dimension areas such as image...

• Understand which algorithms to use in a given context with the help of this exciting recipe-based guide
• Learn about perceptrons and see how they are used to build neural...

• Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries.
• Explore a broad variety of data processing, machine learning,...

Digital Speech Processing Using Matlab deals with digital speech pattern recognition, speech production model, speech feature extraction, and speech compression. The book is written in a manner that is suitable for beginners pursuing basic research in digital speech processing. Matlab illustrations are provided for most topics to...

• Learn to implement a number of features offered by Raspberry Pi to build your own amazing robots
• Understand how to add vision and voice to...

• Design, simulate, build and program an interactive autonomous mobile robot
• Program Robot Operating System using Python
• Get...

Automatic speech recognition suffers from a lack of robustness with respect to noise, reverberation and interfering speech. The growing field of speech recognition in the presence of missing or uncertain input data seeks to ameliorate those problems by using not only a preprocessed speech signal but also an estimate of its...