  Many commercial and forensic applications of speech demand the extraction of
information about the speaker characteristics, which falls into the broad
category of speaker profiling. The speaker characteristics needed for profiling
include physical traits of the speaker like height, age, and gender of the
speaker along with the native language of the speaker. Many of the datasets
available have only partial information for speaker profiling. In this paper,
we attempt to overcome this limitation by developing a new dataset which has
speech data from five different Indian languages along with English. The
metadata information for speaker profiling applications like linguistic
information, regional information, and physical characteristics of a speaker
are also collected. We call this dataset as NITK-IISc Multilingual Multi-accent
Speaker Profiling (NISP) dataset. The description of the dataset, potential
applications, and baseline results for speaker profiling on this dataset are
provided in this paper.
