IJCATR Volume 7 Issue 5

Automatic Speech Recognition of Malayalam Language Nasal Class Phonemes

Cini Kurian
10.7753/IJCATR0705.1002
keywords : Automatic speech recognition, Malayalam, Nasal class words

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Speech recognition applications are becoming common and useful in this day and age as many of the modern devices are designed and produced user-friendly for the convenience of general public. Speaking/communicating directly with the machine to achieve desired objectives make usage of modern devices easier and convenient. Although may interactive software applications are available, the use of these applications is limited due to language barriers. Hence development of speech recognition systems in local languages will help anyone to make use of this technological advancement. In this paper we discuss the results of the Nasal phonetic class wise speech recognition performance of Malayalam language
@artical{c752018ijcatr07051002,
Title = "Automatic Speech Recognition of Malayalam Language Nasal Class Phonemes",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "7",
Issue ="5",
Pages ="193 - 202",
Year = "2018",
Authors ="Cini Kurian"}
  • The paper proposes the results of the Nasal phonetic class wise speech recognition performance of Malayalam language
  • Semi continuous, Context dependent tied state HMM's with 3 state per HMM and 8 Gaussian per state were used for modeling. MFCC were used for feature extraction and trigram models used for language modeling
  • Nasal class words are designed to include total of 74 words which include 20 labial nasal words, 20 dental nasal words, 14 alveolar nasals and 20 retroflex nasals.