| Paper ID | SPE-46.2 |
| Paper Title |
NISP: A MULTI-LINGUAL MULTI-ACCENT DATASET FOR SPEAKER PROFILING |
| Authors |
Shareef Babu Kalluri, Deepu Vijayasenan, National Institute of Technology Karnataka Surathkal, India; Sriram Ganapathy, Indian Institute of Sciences, India; Ragesh Rajan M, National Institute of Technology Karnataka Surathkal, India; Prashant Krishnan, Indian Institute of Sciences, India |
| Session | SPE-46: Corpora and Other Resources |
| Location | Gather.Town |
| Session Time: | Thursday, 10 June, 16:30 - 17:15 |
| Presentation Time: | Thursday, 10 June, 16:30 - 17:15 |
| Presentation |
Poster
|
| Topic |
Speech Processing: [SPE-GASR] General Topics in Speech Recognition |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
Many commercial and forensic applications of speech demand the extraction of information about the speaker's 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 that 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. |
