Sinhala Speech Recognition for Interactive Voice Response Systems Accessed Through Mobile Phones

This paper presents the development of a Sinhala Speech Recognition System to be deployed in an Interactive Voice Response (IVR) system of a telecommunication service provider. The main objectives are to recognize Sinhala digits and names of Sinhala songs to be set up as ringback tones. Sinhala bein...

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Bibliographic Details
Published in2018 Moratuwa Engineering Research Conference (MERCon) pp. 241 - 246
Main Authors Manamperi, Wageesha, Karunathilake, Dinesha, Madhushani, Thilini, Galagedara, Nimasha, Dias, Dileeka
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2018
Subjects
Acoustics
Decoding
Dictionaries
Hidden Markov models
HMM
IVR
Phonetics
sinhala
Speech recognition
Training
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Summary:This paper presents the development of a Sinhala Speech Recognition System to be deployed in an Interactive Voice Response (IVR) system of a telecommunication service provider. The main objectives are to recognize Sinhala digits and names of Sinhala songs to be set up as ringback tones. Sinhala being a phonetic language, its features are studied to develop a list of 47 phonemes. A continuous speech recognition system is developed based on Hidden Markov Model (HMM). The acoustic model is trained using the voice through mobile phone. The outcome is a speaker independent speech recognition system which is capable of recognizing 10 digits and 50 Sinhala songs. A word error rate (WER) of 11.2% using a speech corpus of 0.862 hours and a sentence error rate (SER) of 5.7% using a speech corpus of 1.388 hours are achieved for digits and songs respectively.
DOI:10.1109/MERCon.2018.8421888