VisualVoiceTherapy (VVT) Dataset v1: Exemplary Audio-Visual Voice Therapy Data

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Rica Schulze, Sabrina Schröder, Torge Jensen, Dirk Weyhe, Verena Uslar, Sebastian J. F. Fudickar
DOI: 10.5281/zenodo.18184023
Cited by: 0

Abstract

The VisualVoiceTherapy (VVT) dataset is an audiovisual voice therapy dataset comprising 818 valid videos (14.53 hours, 40.9 GB) from 53 participants performing structured voice therapy exercises. From these recordings, video frames were extracted and annotated to create a domain-specific keypoint dataset. The dataset includes 39 facial keypoints and 21 upper-body keypoints. In total, 8,287 frames were annotated for facial landmarks and 2,097 frames for upper-body landmarks. Data collection took place in Germany; therefore, all spoken content is provided in German.

Fields of Study & Subjects

Voice and Speech Disorders Speech and Audio Processing Human Pose and Action Recognition

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 January 2026
Language
DE
Document type
Dataset