LING 285 Fall 2016 Mary Byram Washburn Speech Synthesis ..
has decided to release its emotional text-to-speech synthesis system MARY as ..
prediction in the Marathi text-to-speech synthesis system MARY.
Listener vocalizations play an important role in communicating listener intentions while the interlocutor is talking. They include non-linguistic vocalizations like uh-huh, mhm, (laughter), and (sigh) as well as verbal response tokens such as yes, right, really, and absolutely. To communicate different intentions, a synthesiser should be capable of generating a broad range of vocalisations with different kinds of acoustic properties. In multimodal human-computer interaction, the ability of systems to generate vocal listener behavior is an important requirement for generating affective interaction. This page aims to provide examples to synthesize vocalizations using MARY speech synthesis framework.
MARY is an open-source, multilingual Text-to-Speech Synthesis platform written in Java. It was originally developed as a collaborative project of DFKI’s Language Technology lab and the Institute of Phonetics at Saarland University and is now being maintained by DFKI. As of version 4.3, MARY TTS supports German, British and American English, Telugu, Turkish, and Russian; more languages are in preparation. MARY TTS comes with toolkits for quickly adding support for new languages and for building unit selection and HMM-based synthesis voices.
Home - HMM/DNN-based speech synthesis system (HTS)
MARY is an open-source, multilingual Text-to-Speech Synthesis platform written in Java. It supports German, British and American English, Telugu, Turkish, and Russian.
Download - HMM/DNN-based speech synthesis system (HTS)
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Free software tools for building HMM-based speech synthesis system. Nagoya Institute of Technology.
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