Comparison of Urdu text to speech synthesis using unit selection and HMM based techniques
2016pp. 79–83
Citations Over TimeTop 12% of 2016 papers
Abstract
This paper presents the development of Urdu text to speech system using Festival framework. Unit selection based, and HMM-based speech synthesizer are developed using 10 hours manually annotated speech data for Urdu text to speech synthesis. The architecture of the Urdu text to speech system is also discussed. The objective assessment of the synthesized speech is evaluated by using automatic speech recognition system. The results show that the speech produced by HMM-based synthesizer has the highest recognition accuracy.
Related Papers
- → Improving Arabic HMM based speech synthesis quality(2006)30 cited
- → Arabic Speech Synthesis System Based on HMM(2019)16 cited
- → TechWare: HMM-based speech synthesis resources [Best of the Web](2009)4 cited
- → Implementation of speech synthesis based on HMM using PADAS database(2015)3 cited
- → HMM-based Vietnamese speech synthesis(2015)1 cited