Skip to main content
SpringerLink
Log in

Language Modeling for Automatic Speech Recognition of Inflective Languages

An Applications-Oriented Approach Using Lexical Data

  • Book
  • © 2017

Overview

Authors:
  1. Gregor Donaj

    1. Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Zdravko Kačič

    1. University of Maribor, Maribor, Slovenia

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Concentrates on speech recognition for inflective languages – representative of roughly half of Europe and their unique characteristics
  • Introduces new application-oriented methods for measuring the performance of a speech recognition system
  • Presents examples of language modeling to maximize the performance of a speech recognition system
  • Provides techniques for analyzing errors and identifying their sources in a speech recognition system from a lexical point of view rather than acoustic point of view

Part of the book series: SpringerBriefs in Speech Technology (BRIEFSSPEECHTECH)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (5 chapters)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. Introduction

    • Gregor Donaj, Zdravko Kačič
    Pages 1-4

  3. Speech Recognition in Inflective Languages

    • Gregor Donaj, Zdravko Kačič
    Pages 5-29

  4. Performance Evaluation Using Lexical Data

    • Gregor Donaj, Zdravko Kačič
    Pages 31-47

  5. Application Oriented Language Modeling

    • Gregor Donaj, Zdravko Kačič
    Pages 49-63

  6. An Example Application

    • Gregor Donaj, Zdravko Kačič
    Pages 65-71
Back to top

Keywords

About this book

This book covers language modeling and automatic speech recognition for inflective languages (e.g. Slavic languages), which represent roughly half of the languages spoken in Europe. These languages do not perform as well as English in speech recognition systems and it is therefore harder to develop an application with sufficient quality for the end user. The authors describe the most important language features for the development of a speech recognition system. This is then presented through the analysis of errors in the system and the development of language models and their inclusion in speech recognition systems, which specifically address the errors that are relevant for targeted applications. The error analysis is done with regard to morphological characteristics of the word in the recognized sentences. The book is oriented towards speech recognition with large vocabularies and continuous and even spontaneous speech. Today such applications work with a rather small number of languages compared to the number of spoken languages.

Authors and Affiliations

  • Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia

    Gregor Donaj

  • University of Maribor, Maribor, Slovenia

    Zdravko Kačič

Bibliographic Information

  • Book Title: Language Modeling for Automatic Speech Recognition of Inflective Languages

  • Book Subtitle: An Applications-Oriented Approach Using Lexical Data

  • Authors: Gregor Donaj, Zdravko Kačič

  • Series Title: SpringerBriefs in Speech Technology

  • DOI: https://doi.org/10.1007/978-3-319-41607-6

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Author(s) 2017

  • Softcover ISBN: 978-3-319-41605-2Published: 06 September 2016

  • eBook ISBN: 978-3-319-41607-6Published: 29 August 2016

  • Series ISSN: 2191-737X

  • Series E-ISSN: 2191-7388

  • Edition Number: 1

  • Number of Pages: VIII, 71

  • Number of Illustrations: 7 b/w illustrations, 6 illustrations in colour

  • Topics: Signal, Image and Speech Processing, Natural Language Processing (NLP), Computational Linguistics

Publish with us

Policies and ethics

Back to top

Search

Navigation