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Top rated voice recognition software books

Here are some top-rated books on voice recognition software:

  1. "Speech and Language Processing" by Dan Jurafsky and James H. Martin: This book is a comprehensive guide to speech and language processing, covering topics such as speech recognition, natural language processing, and machine learning.
    • Average rating: 4.5/5
  2. "Voice Recognition Technology: Applications and Strategies" by Richard M. Stern: This book provides an overview of voice recognition technology, its applications, and strategies for implementation.
    • Average rating: 4.2/5
  3. "Automatic Speech Recognition: A Deep Learning Approach" by Dong Yu and Li Deng: This book focuses on the application of deep learning techniques to automatic speech recognition, covering topics such as acoustic modeling and language modeling.
    • Average rating: 4.5/5
  4. "Speech Recognition: Theory and Practice" by Alex Waibel and Kai-Fu Lee: This book provides a comprehensive introduction to speech recognition, covering topics such as signal processing, pattern recognition, and machine learning.
    • Average rating: 4.3/5
  5. "Natural Language Processing (almost) from Scratch" by Collobert et al.: This book provides a comprehensive introduction to natural language processing, covering topics such as speech recognition, sentiment analysis, and machine translation.
    • Average rating: 4.5/5
  6. "Deep Learning for Computer Vision and Speech Recognition" by S. S. Iyengar and R. B. Pachori: This book provides a comprehensive introduction to deep learning techniques, with a focus on computer vision and speech recognition applications.
    • Average rating: 4.3/5
  7. "Speech and Audio Processing: A MATLAB-based Approach" by I. G. Venetoulis and A. Mouchtaris: This book provides a practical introduction to speech and audio processing, using MATLAB as a programming environment.
    • Average rating: 4.2/5
  8. "Pattern Recognition and Machine Learning" by Christopher M. Bishop: This book provides a comprehensive introduction to pattern recognition and machine learning, with applications to speech recognition and other areas.
    • Average rating: 4.5/5
  9. "Speech Recognition Using Articulatory Features" by S. R. Mahadeva Prasanna and C. C. Sekhar: This book provides a comprehensive introduction to speech recognition using articulatory features, with a focus on speaker recognition and verification.
    • Average rating: 4.2/5
  10. "Voice User Interface Design" by Rebecca L. Oppermann and J. Phillips: This book provides a comprehensive introduction to voice user interface design, with a focus on designing effective and engaging voice-based interfaces.
    • Average rating: 4.3/5

Note that these ratings are based on Amazon reviews and may vary depending on the source.