MotorBank CAPE-V Corpus

Patrick Walden Communication Sciences and Disorders St. Johns University waldenp@stjohns.edu

CAPE-V media files

Citation information

In accordance with TalkBank rules, any use of data from this corpus must cite this reference:

Kempster, G. B., Nagle, K. F., & Solomon, N. P. (2025). Development and Rationale for the Consensus Auditory-Perceptual Evaluation of Voice—Revised (CAPE-Vr). Journal of Voice.

Additional references:

Lodhavia, A., & Kempster, G. B. (2024). Fidelity to the consensus auditory-perceptual analysis of voice (CAPE-V): a pilot study. Journal of Voice.

Nagle, K.F., Kempster, G.B., & Solomon, N. P. (2024). Survey of Voice-Focused Speech-Language Pathologists’ Usage of the Consensus Auditory Perceptual Evaluation of Voice (CAPE-V). Journal of Voice.

This recent paper describes an automatic method for computing CAPE-V:

Ariyanti, W., Chen, K.-Y., Siniscalchi, S. M., Wang, H.-M., & Tsao, Y. (2025). Towards Robust Automated Perceptual Voice Quality Assessment with Deep Learning. arXiv preprint arXiv:2505.21356.

Project Description

This database was created through generous funding from The Voice Foundation's Advancing Scientific Voice Research Grant and contains voice samples which have been rated by experienced voice professionals (at least 3 different raters with a minimum of 3 years’ clinical experience) in order to provide educators with standardized materials to better train pre-service clinical voice professionals. It contains 296 audio files consisting of the sustained /a/ and /i/ vowels and the sentences from the Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V). All recordings were made in a quiet clinical environment using a head-mounted condenser microphone at a 6-centimeter distance from the corner of the mouth and the Computerized Speech Lab (CSL) using 16-bit encryption and a sampling rate of 48k.

For the full description of the method, results, and rater reliability, please see this overview

The ratings are in these sheets