Muutke küpsiste eelistusi

E-raamat: Speech Technology: A Theoretical and Practical Introduction

(University of Arizona)
  • Formaat: PDF+DRM
  • Ilmumisaeg: 28-Feb-2026
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9781009606707
  • Formaat - PDF+DRM
  • Hind: 43,23 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: PDF+DRM
  • Ilmumisaeg: 28-Feb-2026
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9781009606707

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

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.

Muu info

Illustrated throughout with samples of code and practical diagrams, this textbook gives an accessible introduction to speech technology.
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).