Dear all,
We are proposing a ICASSP 2023 Signal Processing Grand Challenge on
development of a lightweight, multi-speaker, multi-lingual Text to
Speech (TTS) model. For this purpose, we share TTS datasets in Marathi,
Hindi, Telugu, and Indian
English. These studies are important for data selection in TTS, for
various landscapes such as India, Europe, etc which have a large number
of languages and their regional variations. These works can also enable
the development of large-scale multi-speaker,
multi-lingual TTS models. TTS corpora in these languages are being
built as a part of the SYSPIN project at SPIRE lab, Indian Institute of
Science (IISc) Bangalore, India, in which large corpora comprising 40
hours of single speaker’s speech in each of nine
Indian languages are being collected.
Organizing Committee:
Prasanta Kumar Ghosh, IISc, Bangalore
Hema Murthy, IIT Madras
Pranaw Kumar, CDAC Mumbai
Philipp Olbrich, GIZ, Germany
Keiichi Tokuda, Nagoya Institute of Technology
Mark Hasegawa-Johnson, University of Illinois
Heiga Zen, Google