SOMVOICE: A First Dataset to Study the Effects of Sleep Deprivation on Voice Characteristics of Healthy French Speakers

Key Points

• To investigate how sleep deprivation affects voice characteristics in healthy French speakers using a novel dataset.
• Analysis of voice recordings from French speakers under varying sleep conditions.
• Assessment of vocal attributes such as pitch, tone, and quality.
• Comparison of voice characteristics between sleep-deprived and well-rested states.
• Voice characteristics significantly changed with sleep deprivation.
• Altered pitch and tone were particularly noted among the participants.
• Findings suggest the need for further research on vocal health during sleep deprivation.