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    <identifier identifierType="DOI">10.34622/datarepositorium/KDIXY6</identifier>
    <creators><creator><creatorName>Soares, Ana Paula</creatorName><affiliation>(EPsi)</affiliation></creator><creator><creatorName>Mendes Oliveira, Helena</creatorName><affiliation>(EPsi)</affiliation></creator></creators>
    <titles>
        <title>Minho Spoken Syllable Pool (MSSP)</title>
    </titles>
    <publisher>Repositório de Dados da Universidade do Minho</publisher>
    <publicationYear>2026</publicationYear>
    <resourceType resourceTypeGeneral="Dataset"/>
    
    <descriptions>
        <description descriptionType="Abstract">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.</description>
    </descriptions>
    <contributors><contributor contributorType="ContactPerson"><contributorName>Mendes Oliveira, Helena</contributorName><affiliation>(EPsi)</affiliation></contributor></contributors>
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