Title
NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling
Abstract
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.
Year
DOI
Venue
2021
10.1109/ICASSP39728.2021.9414349
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)
Keywords
DocType
Citations 
NISP dataset, Speaker profiling, Physical parameters, Voice forensics
Conference
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Shareef Babu Kalluri100.68
Deepu Vijayasenan27310.91
Sriram Ganapathy325239.62
Ragesh Rajan M400.68
Krishnan Prashant571.65