We present a data-to-speech system called D2S, which can be used for the creation of data-to-speech
systems in different languages and domains. The most important characteristic
of a data-to-speech system is that it combines language and speech generation: language
generation is used to produce a natural language text expressing the system's input data, and
speech generation is used to make this text audible. In D2S, this combination is exploited by
using linguistic information available in the language generation module for the computation
of prosody. This allows us to achieve a better prosodic output quality than can be achieved in a
plain text-to-speech system. For language generation in D2S, the use of syntactically enriched
templates is guided by knowledge of the discourse context, while for speech generation pre-recorded
phrases are combined in a prosodically sophisticated manner. This combination of
techniques makes it possible to create linguistically sound but efficient systems with a high
quality language and speech output.
Development of TTS Engine for Indian Accent using Modified HMM Algorithm