Deepu Vijayasenan — accepted AI-conference papers

2021

NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling

Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy, Ragesh Rajan M, Prashant Krishnan V

ICASSP 2021accepted

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 o…

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2019

A Deep Neural Network Based End to End Model for Joint Height and Age Estimation from Short Duration Speech

Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy

ICASSP 2019accepted

Automatic height and age prediction of a speaker has a wide variety of applications in speaker profiling, forensics etc. Often in such applications only a few seconds of speech data is available to reliably estimate the speaker parameters. Traditionally, age and height were predicted separately usin…

Cited by 0 Source ↗Scholar ↗