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Telephonic Vowel Recognition in the Case of English Vowels

  • Sujata Negi Thakur
  • Manoj Kumar Singh
  • Anurag Barthwal
Part of the Communications in Computer and Information Science book series (CCIS, volume 306)

Introduction

Vowel recognition is the focus of automatic speech recognition (ASR) and speaker identification systems because of spectrally well defined characteristics of vowels. The ability to recognize speech improves significantly by efficient vowel recognition, both by humans as well as by ASR systems [1]. Therefore vowel recognition has an important role in speech processing systems. Now-a-days telephonic vowel recognition has gain lot of research interest as telephones have been revolutionized the personal and professional communication. Therefore, in this work emphasis is given to vowel recognition from telephonic speech. Telephonic vowel recognition of English language is a challenging task as the same vowel has got different contextual pronounciation. Telephonic speech recognition is greatly benefitted by efficient vowel recognition. Recognition of vowels from telephonic speech has applications in speaker recognition for critical banking transactions, identification of criminals, access control systems and forensic applications. In the field like Biometrics, goal of vowel recognition is to verify an individual’s identity based on his or her voice. This is one of the trusted means of authentication as voice is one of the most natural forms of the communication.

Keywords

Gaussian Mixture Model Automatic Speech Recognition Speaker Recognition Speaker Identification Automatic Speech Recognition System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Gheidi, M., Sayadian, A.: Vowel Detection and Classification using Support Vector Machines (SVM). In: 4th International Conference: Sciences of Electronic, Technologies of Information and Telecommunications, TUNISIA, March 25-29 (2007)Google Scholar
  2. 2.
    Kocharov, D.A.: Automatic Vowel Recognition in Fluent Speech (on the Material of the Russian Language). In: SPECOM 2004: 9th Conference Speech and Computer (2004)Google Scholar
  3. 3.
    Murthy, K., Yegnanarayana, B.: Epoch extraction from speech signals. IEEE Trans. Audio, Speech and Language Processing 16, 1602–1613 (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Sujata Negi Thakur
    • 1
  • Manoj Kumar Singh
    • 1
  • Anurag Barthwal
    • 2
  1. 1.Department of Computer ApplicationsGraphic Era Hill UniversityDehradunIndia
  2. 2.School of ComputingGraphic Era UniversityDehradunIndia

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