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Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
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Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras

by Navin Kumar Manaswi
April 2018
Intermediate to advanced content levelIntermediate to advanced
228 pages
3h 41m
English
Apress
Content preview from Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
©  Navin Kumar Manaswi 2018
Navin Kumar ManaswiDeep Learning with Applications Using Python https://doi.org/10.1007/978-1-4842-3516-4_10

10. Speech to Text and Vice Versa

Navin Kumar Manaswi1 
(1)
Bangalore, Karnataka, India
 

In this chapter, you will learn about the importance of speech-to-text and text-to-speech conversion. You will also learn about the functions and components needed to do this type of conversion.

Specifically, I will cover the following:
  • Why you would want to convert speech to text

  • Speech as data

  • Speech features that map speech to a matrix

  • Spectrograms, which map speech to an image

  • Building a classifier for speech recognition through mel-frequency cepstral coefficient (MFCC) features

  • Building a classifier for speech recognition through ...

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Publisher Resources

ISBN: 9781484235164Purchase LinkPublisher Website