Skip to main content
SpringerLink
Log in

Language Identification Using Spectral and Prosodic Features

  • Book
  • © 2015

Overview

Authors:
  1. K. Sreenivasa Rao

    1. Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. V. Ramu Reddy

    1. Innovation Lab Kolkata, Kolkata, West Bengal, India

    View author publications

    You can also search for this author in PubMed   Google Scholar

  3. Sudhamay Maity

    1. Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Discusses recently proposed spectral features extracted from glottal closure regions and pitch-synchronous analysis, which are more robust and carry high degree of language discrimination information
  • Proposes robust methods for extracting the spectral features from glottal closure regions and pitch-synchronous analysis
  • Investigates spectral features for language identification tasks in noisy background environments
  • Includes supplementary material: sn.pub/extras

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-xi
    Download chapter PDF

  2. Introduction

    • K. Sreenivasa Rao, V. Ramu Reddy, Sudhamay Maity
    Pages 1-11

  3. Literature Review

    • K. Sreenivasa Rao, V. Ramu Reddy, Sudhamay Maity
    Pages 13-26

  4. Language Identification Using Spectral Features

    • K. Sreenivasa Rao, V. Ramu Reddy, Sudhamay Maity
    Pages 27-53

  5. Language Identification Using Prosodic Features

    • K. Sreenivasa Rao, V. Ramu Reddy, Sudhamay Maity
    Pages 55-81

  6. Summary and Conclusions

    • K. Sreenivasa Rao, V. Ramu Reddy, Sudhamay Maity
    Pages 83-86

  7. Back Matter

    Pages 87-98
    Download chapter PDF
Back to top

Keywords

About this book

This book discusses the impact of spectral features extracted from frame level, glottal closure regions, and pitch-synchronous analysis on the performance of language identification systems. In addition to spectral features, the authors explore prosodic features such as intonation, rhythm, and stress features for discriminating the languages. They present how the proposed spectral and prosodic features capture the language specific information from two complementary aspects, showing how the development of language identification (LID) system using the combination of spectral and prosodic features will enhance the accuracy of identification as well as improve the robustness of the system. This book provides the methods to extract the spectral and prosodic features at various levels, and also suggests the appropriate models for developing robust LID systems according to specific spectral and prosodic features. Finally, the book discuss about various combinations of spectral and prosodic features, and the desired models to enhance the performance of LID systems.

Authors and Affiliations

  • Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India

    K. Sreenivasa Rao, Sudhamay Maity

  • Innovation Lab Kolkata, Kolkata, West Bengal, India

    V. Ramu Reddy

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation