Debas – a sinhala interactive voice response system

dc.contributor.authorNallathamby, JD
dc.contributor.authorKariyawasam, KKR
dc.contributor.authorPullaperuma, HD
dc.contributor.authorVithana, DC
dc.contributor.authorJayasena, S
dc.contributor.editorWeerawardhana, S
dc.contributor.editorMadusanka, A
dc.contributor.editorDilrukshi, T
dc.contributor.editorAravinda, H
dc.date.accessioned2022-12-05T07:31:43Z
dc.date.available2022-12-05T07:31:43Z
dc.date.issued2011-11
dc.description.abstractAlthough there are widely used Interactive Voice Response (IVR) systems in many languages today, there is no Sinhala language IVR system yet. This paper talks about an approach taken in developing a complete Sinhala IVR system. It talks about the research carried out in this area, the process taken, the overall design and implementation aspects and the future work that can be carried out in this area. deBas IVR is a complete Sinhala IVR with automatic speech recognition (ASR) and text-to-speech (TTS) synthesis modules that work in compliance with Media Resource Control Protocol (MRCP). In the ASR component, training the acoustic model is done with SphinxTrain, and decoding with PocketSphinx, which are based on Hidden Markov Models (HMM). In the TTS component, AMoRA Sinhala TTS knowledge base is used, which uses Festival speech synthesis engine and a female diphonic voice, built using Festvox voice building tools. Asterisk is used as the IVR gateway and dial-plan interpreter. MRCPv2 protocol has been followed in developing the speech resources, which uses Session Initiation Protocol (SIP) for establishing controlled connections to external media streaming devices and Real-time Transport Protocol (RTP) for media delivery. The language model of the ASR component has been restricted to digits from 0-9 that are commonly used in IVR systems and the set of words used for our demo application. The word-error-rate and the sentence-error-rate of the ASR component are reported to be 31.4% and 54% respectively, as observed in our experiments. In addition to these, we also introduce a new intonation model that can be applied to any existing Sinhala diphonic voices.en_US
dc.identifier.citation******en_US
dc.identifier.conferenceCS & ES Conference 2011en_US
dc.identifier.departmentDepartment of Computer Science and Engineeringen_US
dc.identifier.facultyEngineeringen_US
dc.identifier.placeMoratuwa. Sri Lankaen_US
dc.identifier.proceedingProceedings of the CS & ES Conference 2011en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/19670
dc.identifier.year2011en_US
dc.language.isoenen_US
dc.publisherComputer Science & Engineering Society c/o Department of Computer Science and Engineering, University of Moratuwa.en_US
dc.subjectSinhalaen_US
dc.subjectInteractive Voice Responseen_US
dc.subjectAutomatic speech recognitionen_US
dc.subjectText-to-speechen_US
dc.subjectMedia resource control protocolen_US
dc.subjectHidden markov modelen_US
dc.subjectWord-error-rateen_US
dc.subjectSentence-error-rateen_US
dc.titleDebas – a sinhala interactive voice response systemen_US
dc.typeConference-Full-texten_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
deBas _ A Sinhala Interactive Voice Response System.pdf
Size:
1018.47 KB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: