Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The Whistler text-to-speech engine was designed so that  can automatically construct the model parameters from training data.  describes in detail the design issues of constructing the synthesis unit inventory automatically from speech databases. The automatic process includes (1) determining the scaleable synthesis unit which can reflect spectral variations of different allophones; (2) segmenting the recording sentences into phonetic segments; (3) select good instances for each synthesis unit to generate best synthesis sentence during the run time. These processes are all derived through the use of probabilistic learning methods which are aimed at the same optimization criteria. Through this automatic unit generation, Whistler can automatically produce synthetic speech that sounds very natural and resembles the acoustic characteristics of the original speaker.
['Hsiao-Wuen Hon', 'Alex Acero', 'Xuedong Huang', 'Jingsong Liu', 'Mike Plumpe']
I am writing a research paper on a idea Automatic generation of synthesis units for trainable text-to-speech systems
[{"from": "human", "value": "I am writing a research paper on a idea Automatic generation of synthesis units for trainable text-to-speech systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The Whistler text-to-speech engine was designed so that  can automatically construct the model parameters from training data.  describes in detail the design issues of constructing the synthesis unit inventory automatically from speech databases. The automatic process includes (1) determining the scaleable synthesis unit which can reflect spectral variations of different allophones; (2) segmenting the recording sentences into phonetic segments; (3) select good instances for each synthesis unit to generate best synthesis sentence during the run time. These processes are all derived through the use of probabilistic learning methods which are aimed at the same optimization criteria. Through this automatic unit generation, Whistler can automatically produce synthetic speech that sounds very natural and resembles the acoustic characteristics of the original speaker."}]