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1 publication found

Sinhala speech recognition for interactive voice response systems accessed through mobile phones

Wageesha Manamperi, Dinesha Karunathilake, Thilini Madhushani, Nimasha Galagedara, Dileeka Dias

Conference MERCon 2018 Moratuwa Engineering Research Conference (MERCon) , pp. 241-246 · 2018 · Cited by 16

Machine Learning and Pattern RecognitionNatural Language ProcessingSpeech, Audio and Acoustic Processing

Abstract

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.