Abstract
Phonetic Engine (PE) is a system that is used to determine the sequence of phones in a spoken utterance. In order to transcribe the speech database, International Phonetic Alphabet (IPA) is used. This work focuses on developing multilingual PE for four Indian languages namely, Bengali, Hindi, Urdu and Telugu. The number of languages can be increased to any number. For developing the PE, read speech corpus have been used. For developing the multilingual Phonetic Engine, forty phonemes are identified for modeling, by asnalysing the phoneme sets of these languages. The system is based on Hidden Markov Models (HMM). Mel-frequency Cepstral Coefficients are used as features for building the HMM models. The trained forty HMMs are used to derive a sequence of phonetic units for test utterances.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
