SpeechMarker: A Voice Based Multi-Level Attendance Application

Sarfaraz Jelil, Abhishek Shrivastava, Rohan Kumar Das, S.R. Mahadeva Prasanna, Rohit Sinha


This work describes a multi-level speaker verification (SV) framework that is accessible via a graphical user interface (GUI) with attendance as an application. This framework has three different modalities of SV system, namely, voice-password, text-dependent and text-independent. The decision for attendance marking can be taken from each of the modalities or by fusion. There are two operating modes of the developed GUI, which are user and debug modes. The user mode is for general users to mark attendance, whereas the debug mode is to study the behavior of the three modalities from deployment point of view. The speech waveforms, different plots and scores can be analyzed in the debug mode for analysis. The system has been deployed successfully for regular attendance marking among a closed group in a laboratory environment.


Cite as: Jelil, S., Shrivastava, A., Das, R.K., Prasanna, S.M., Sinha, R. (2019) SpeechMarker: A Voice Based Multi-Level Attendance Application. Proc. Interspeech 2019, 3665-3666.


@inproceedings{Jelil2019,
  author={Sarfaraz Jelil and Abhishek Shrivastava and Rohan Kumar Das and S.R. Mahadeva Prasanna and Rohit Sinha},
  title={{SpeechMarker: A Voice Based Multi-Level Attendance Application}},
  year=2019,
  booktitle={Proc. Interspeech 2019},
  pages={3665--3666}
}