Speech Technology

Name: Speech Technology
Price: 263.65 AUD
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ISBN: 9781009606691

A Theoretical and Practical Introduction

Michael Hammond (University of Arizona)

$329.95 $263.65

Hardback

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English

Cambridge University Press
12 March 2026

Computational linguistics; Communications engineering & telecommunications; Speech recognition

In recent years, speech recognition devices have become central to our everyday lives. Systems such as Siri, Alexa, speech-to-text, and automated telephone services, are built by people applying expertise in sound structure and natural language processing to generate computer programmes that can recognise and understand speech. This exciting new advancement has led to a rapid growth in speech technology courses being added to linguistics programmes; however, there has so far been a lack of material serving the needs of students who have limited or no background in computer science or mathematics. This textbook addresses that need, by providing an accessible introduction to the fundamentals of computer speech synthesis and automatic speech recognition technology, covering both neural and non-neural approaches. It explains the basic concepts in non-technical language, providing step-by-step explanations of each formula, practical activities and ready-made code for students to use, which is also available on an accompanying website.

By: Michael Hammond (University of Arizona)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
ISBN: 9781009606691
ISBN 10: 1009606697
Pages: 336
Publication Date: 12 March 2026
Audience: General/trade , ELT Advanced
Format: Hardback
Publisher's Status: Active

1. Overview; 2. Speech; 3. Finite-state language modeling; 4. Statistical language models; 5. Non-neural synthesis; 6. Non-neural recognition; 7. Neural nets; 8. Neural synthesis; 9. Neural recognition; 10. Other technologies.

Michael Hammond is Full Professor in the Department of Linguistics at The University of Arizona. His work focuses on phonology, psycholinguistics, and computational linguistics. His notable publications include The Phonology of English (OUP, 1999) and Python for Linguists (CUP, 2020).