Invited Speaker


Abel Herrera-Camacho, Universidad Nacional Autonoma de Mexico (UNAM), Mexico


Abel Herrera-Camacho is Professor of Engineering School at UNAM (National Autonomous University of Mexico), where he is Professor of Computer Engineering Bachelor Program, and, jointly in Graduate Computer Science and Engineering Program, and as the founding Director of Laboratory of Language Technologies. He was a postdoctoral researcher at Carnegie Mellon and a invited researcher at USC and UPC (Universitat Politécnica de Catalunya), the first on speech recognition for mobile devices, the second on natural and emotional speech synthesis, and the third on deep neural networks for speech applications. He has published over 100 papers and has more than 10 technological products. He has collaborated on 11 engineering projects with the industry and UNAM.

Title: A Synthesizer for Non Familiar Language with Low Resources and Few Speakers

Abstract: Our past work has been primarily focused to design a speech synthesizer for the Spanish Language. The Spanish is the official language of Mexico since the XVI century. However, today, we are working with an ancient Mexican Language called ‘Tenek’ or ‘Huasteco’ (for Spanish Language). We want to apply a concatenative Statistical Parametric Synthesis method, because we have a small corpus. Especially focusing in the grammatical rules because of the high importance they have in the synthesizer’s design. The origins of Huasteco are from a Family Language very different from Spanish or other European languages. In consequence, the challenge is interesting and difficult. Maybe, this work could help to design speech synthesizers of another ancient languages. 


 

 

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