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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Correlated lip motion and voice audio data.

Marco Colasito1, Jeremy Straub2, Pratap Kotala2

  • 1Department of Computer Science, Valdosta State University, United States.

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This dataset captures synchronized audio and lip movement from videos for developing and validating multimodal biometric systems. It aids in training software for voice and lip-motion recognition using controlled recordings.

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Area of Science:

  • Biometrics
  • Computer Vision
  • Speech Processing

Background:

  • Multimodal biometric systems offer enhanced security and accuracy.
  • Integrating voice and lip-motion recognition presents a promising approach.
  • Validation of such systems requires robust, correlated datasets.

Purpose of the Study:

  • To present a novel dataset of correlated audio and lip movement.
  • To facilitate the development and validation of compound biometric systems.
  • To enable training and testing of algorithms for voice and lip-motion recognition.

Main Methods:

  • Collected synchronized audio and lip movement data from multiple subjects.
  • Recorded volunteers reciting a fixed script for training.
  • Included a second video with a shorter phrase for testing recognition.
  • Utilized a 4K professional-grade camcorder in a controlled indoor setting.

Main Results:

  • The dataset provides correlated audio and lip movement data.
  • It includes distinct training and testing video segments.
  • Recordings were made under controlled lighting and high resolution.

Conclusions:

  • The dataset is suitable for developing and validating multimodal biometric systems.
  • It supports research in combined voice and lip-motion pattern recognition.
  • This resource aids in advancing the field of biometric security.