The text to speech technology has achieved significant progress during the past decade and
is an active area of research and development in providing different human–computer …

Building speech synthesis systems for Indian languages is challenging owing to the fact that
digital resources for these languages are hardly available. Vocabulary independent speech …

This paper presents a text-to-speech (TTS) system developed at Nara Institute of Science
and Technology (NAIST) for the Blizzard Challenge 2015. The tasks of this year's challenge …

Indian language WordNets have their individual web-based browsing interfaces along with
a common interface for IndoWordNet. These interfaces prove to be useful for language …

This paper describes the implementation of the IRISA unit selection-based TTS system for
our participation in the Blizzard Challenge 2016. We describe the process followed to build …

In this paper, use of Viterbi-based algorithm and spectral transition measure (STM)-based
algorithm for the task of speech data labeling is being attempted. In the STM framework, we …

Designing text-to-speech systems capable of producing natural sounding speech segments
in different Indian languages is a challenging and ongoing problem. Due to the large …

Multilingual Automatic Speech Recognition (ASR) for Indian languages is an obvious
technique for leveraging their similarities. We present a detailed analysis of how …

In this paper, the speech synthesis systems developed by USTC for Bilizzard Challenge
2015 are introduced. The constructed systems include Indian languages of Bengali, Hindi …

The primary objective of this work is to classify Hindi and Telugu stories into three genres:
fable, folk-tale, and legend. In this work, we are proposing a framework for story …