  India is home to a multitude of languages of which 22 languages are
recognised by the Indian Constitution as official. Building speech based
applications for the Indian population is a difficult problem owing to limited
data and the number of languages and accents to accommodate. To encourage the
language technology community to build speech based applications in Indian
languages, we are open sourcing SPRING-INX data which has about 2000 hours of
legally sourced and manually transcribed speech data for ASR system building in
Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Punjabi
and Tamil. This endeavor is by SPRING Lab , Indian Institute of Technology
Madras and is a part of National Language Translation Mission (NLTM), funded by
the Indian Ministry of Electronics and Information Technology (MeitY),
Government of India. We describe the data collection and data cleaning process
along with the data statistics in this paper.
