Spoken language processing
by Xuedong Huang, Alex Acero, Hsiao-Wuen Hon · first published 2001
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Read the book: Automatic Speech Recognition A Deep Learning Approach http://rd.springer.com/book/10.1007%2F978-1-4471-5779-3. Also read another book http://www.amazon.com/Spoken-Language-Processing-Algorithm-D.... In parallel play with open source toolkits - cmusphinx, kaldi. Just run examples from tutorials to understand how things look in practice.
on “Open Source Speech Recognition” ↗…recognition, a few very foundational textbooks are: * Foundations of Statistical Natural Language Processing by Manning and Schuetze [0] * Statistical Methods for Speech Recognition by Jelinek [1] * Spoken Language Processing: A Guide to Theory, Algorithm, and System Development by Huang, Acero and Hon [2] In particular, Statistical Methods for Speech Recognition is a book you could expect to see on the shelves of most people…
on “Ask HN: What are the best textbooks in your field of expertise?” ↗Just for shits and giggles I grabbed a random book from the shelf and counted characters per column. The book I grabbed was "Spoken Language Processing", Huang Acero, Hon (ISBN 0-13-022616-5) and I counted 88 characters per line. The book is still very readable, despite exceeding the claimed 70-odd character limit for books/columns. Another book sitting…
on “Notebook Is A Better Readme” ↗