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Text-to-Speech translation using Support Vector Machine, an approach to find a potential path for human-computer speech synthesizer

Hanumanthappa, M., Siddalingappa, Rashmi ORCID logoORCID: https://orcid.org/0000-0001-9786-8436 and Reddy, Mallamma (2016) Text-to-Speech translation using Support Vector Machine, an approach to find a potential path for human-computer speech synthesizer. In: 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE

Full text not available from this repository.
Item Type: Book Section
Status: Published
Subjects: Q Science > Q Science (General)
School/Department: London Campus
URI: https://ray.yorksj.ac.uk/id/eprint/13967

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