10.34622/datarepositorium/KDIXY6Soares, Ana PaulaAna PaulaSoares15052485400EPsiMendes Oliveira, HelenaHelenaMendes Oliveira57190165342EPsiRepositório de Dados da Universidade do Minho2026Arts and HumanitiesSocial Sciencesspoken syllablesspeech perceptionauditory ERPsauditory word recognitionword segmentationspeech databasestatistical learningEuropean Portuguesespoken syllablesMendes Oliveira, HelenaHelenaMendes OliveiraEPsiSoares, Ana PaulaAna PaulaSoares202620262026-02-132026-04-102023/2025auditory CV 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rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons Licence" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.The Minho Spoken Syllable Pool (MSSP) provides 266 European Portuguese consonant–vowel (CV) syllables recorded under uniform conditions (single native speaker; controlled setting; constant recording chain and environment), together with integrated linguistic descriptors, including IPA and SAMPA transcriptions, segmental and articulatory annotations, and orthographic mappings. The focus on CV syllables reflects their canonical status and widely assumed cross-linguistic prevalence, supporting their use not only in European Portuguese research but also in artificial-language learning and statistical-learning paradigms that build controlled streams from natural CV syllables. To enable frequency-controlled designs, MSSP includes corpus-derived type and token syllable frequency measures computed from SUBTLEX-PT, with indices conditioned by word length and syllable position, as well as stress-related frequency counts to support prosody-sensitive stimulus selection in a language with variable stress assignment. MSSP further provides selection-oriented acoustic descriptors (e.g., syllable duration and F0 for all items; nasal vowels additionally characterized via amplitude-based nasalization indices) to facilitate screening and transparent reporting of stimulus properties.PortugalPortuguese Foundation for Science and Technology (FCT)UID/01662/2025Portuguese Foundation for Science and Technology (FCT)2022.05618.PTDCPortuguese Foundation for Science and Technology (FCT)2022.05154.CEECINDCOMPETE2030-FEDER00795200