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Design of Distribution Transformer Health Management System using IoT Sensors
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Automatic Diagnosis of Alzheimer’s disease using Hybrid Model and CNN
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Volume - 2 | Issue - 4 | december 2020
Published
18 December, 2020
The computer system is developing the model for speech synthesis of various aspects for natural language processing. The speech synthesis explores by articulatory, formant and concatenate synthesis. These techniques lead more aperiodic distortion and give exponentially increasing error rate during process of the system. Recently, advances on speech synthesis are tremendously moves towards deep learning process in order to achieve better performance. Due to leverage of large scale data gives effective feature representations to speech synthesis. The main objective of this research article is that implements deep learning techniques into speech synthesis and compares the performance in terms of aperiodic distortion with prior model of algorithms in natural language processing.
KeywordsNatural Language Processing speech synthesis deep learning
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