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Hands-On Markov Models with Python

You're reading from   Hands-On Markov Models with Python Implement probabilistic models for learning complex data sequences using the Python ecosystem

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781788625449
Length 178 pages
Edition 1st Edition
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Authors (2):
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Ankur Ankan Ankur Ankan
Author Profile Icon Ankur Ankan
Ankur Ankan
Abinash Panda Abinash Panda
Author Profile Icon Abinash Panda
Abinash Panda
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Toc

Speech recognition

In the 1950s, Bell Labs was the pioneer in speech recognition. The early designed systems were limited to a single speaker and had a very limited vocabulary. After around 70 years of work, the current speech-recognition systems are able to work with speech from multiple speakers and can recognize thousands of words in multiple languages. A detailed discussion of all the techniques used is beyond the scope of this book as enough work has been done on each technique to have a book on itself.

But the general workflow for a speech-recognition system is to first capture the audio by converting the physical sound into an electrical signal using a microphone. The electrical signal generated by the microphone is analog and needs to be converted to a digital form for storage and processing, for which analog-to-digital converters are used. Once we have the speech in digital...

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