Stable Vowel Corpus (SVC): a benchmark for spectral stability analyses

This dataset comprises 4,860 synthesized CVC-like sequences generated using Praat's articulatory synthesizer (Boersma, 1998; Boersma & Weenink, 2021). The duration and location of the spectrally stable portion of the vowel within these CVC-like sequences were randomly varied.
Each corresponding .wav file is labeled with the following format:

Stimulus ID_TsV_TeV_C1_V_C2_speaker.wav
e.g. 1000_0.2197529077064245_0.2906336685046843p_a_d_female.wav
Here's the breakdown of the naming convention:

Stimulus ID: A unique identifier for each stimulus.
TsV: The timecode of the start of the stable portion of the vowel.
TeV: The timecode of the end of the stable portion of the vowel.
C1: The first consonant category.
V: The vowel category.
C2: The second consonant category.
Speaker: The type of artificial speaker used for the synthesis.
Further details about the design and synthesis of the corpus have been published in:

Genette, J., Rivera Espejo, J. M., Gillis, S., & Verhoeven, J. (2023). Determining spectral stability in vowels: A comparison and assessment of different metrics. Speech Communication, 154, 102984. https://doi.org/10.1016/j.specom.2023.102984
References
Boersma, P. (1998). Functional Phonology: Formalizing the Interactions between Articulatory and Perceptual Drives [PhD Thesis]. University of Amsterdam.
Boersma, P., & Weenink, D. (2021). Praat: doing phonetics by computer [Computer program. Version 6].