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ECAPA-TDNN based online discussion activity-level evaluation.

Hongbo Kang¹, Botao He¹, Ruoyang Song¹

¹School of Automation, Xi'an University of Posts and Telecommunications, Xi'an, China.

Scientific Reports

|June 26, 2024

Summary

This summary is machine-generated.

This study introduces an online discussion evaluation system using voiceprint recognition to assess participant activity. The system accurately measures speaking frequency and time, providing objective feedback on engagement levels in virtual meetings.

Keywords:

Activity-level evaluation model Audio segmentation ECAPA-TDNN Online education Voiceprint recognition

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Area of Science:

Computer Science
Speech Recognition
Human-Computer Interaction

Background:

Online discussions are crucial for work and education.
Assessing participant engagement in online meetings is challenging.
Existing methods lack objectivity and detail in evaluating activity levels.

Purpose of the Study:

To design an automated system for evaluating participant activity in online discussions.
To leverage voiceprint recognition for accurate speaker identification.
To develop a robust model for calculating activity levels based on speaking metrics.

Main Methods:

Audio segmentation to isolate individual speech segments.
Voiceprint recognition model for speaker identification.
A linear normalized model using speaking frequency and duration for activity scoring.
Fuzzy membership functions to determine objective activity levels.

Main Results:

The system successfully segmented audio and identified speakers.
The activity-level calculation model provided objective scores.
Experimental results showed high accuracy, matching manual recordings.
The system effectively distinguished participant activity levels.

Conclusions:

The developed system accurately assesses participant engagement in online discussions.
Voiceprint recognition and activity-level modeling offer an objective evaluation method.
This technology can enhance the effectiveness and feedback mechanisms of online meetings.