<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Minho Spoken Syllable Pool (MSSP)</titl><IDNo agency="DOI">doi:10.34622/datarepositorium/KDIXY6</IDNo></titlStmt><distStmt><distrbtr source="archive">Repositório de Dados da Universidade do Minho</distrbtr><distDate>2026-04-10</distDate></distStmt><verStmt source="DVN"><version date="2026-04-10" type="RELEASED">1</version></verStmt><biblCit>Soares, Ana Paula; Mendes Oliveira, Helena, 2026, "Minho Spoken Syllable Pool (MSSP)", https://doi.org/10.34622/datarepositorium/KDIXY6, Repositório de Dados da Universidade do Minho, V1, UNF:6:RTmnMOgagrVF8Y6dZ6/UuQ== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Minho Spoken Syllable Pool (MSSP)</titl><subTitl>A European Portuguese Database</subTitl><IDNo agency="DOI">doi:10.34622/datarepositorium/KDIXY6</IDNo></titlStmt><rspStmt><AuthEnty affiliation="EPsi">Soares, Ana Paula</AuthEnty><AuthEnty affiliation="EPsi">Mendes Oliveira, Helena</AuthEnty><othId role="Project Leader">Soares, Ana Paula</othId></rspStmt><prodStmt><prodDate>2026</prodDate><prodPlac>Portugal</prodPlac><grantNo agency="Portuguese Foundation for Science and Technology (FCT)">UID/01662/2025</grantNo><grantNo agency="Portuguese Foundation for Science and Technology (FCT)">2022.05618.PTDC</grantNo><grantNo agency="Portuguese Foundation for Science and Technology (FCT)">2022.05154.CEECIND</grantNo><grantNo agency="COMPETE2030-FEDER">00795200</grantNo></prodStmt><distStmt><distrbtr source="archive">Repositório de Dados da Universidade do Minho</distrbtr><contact affiliation="EPsi">Mendes Oliveira, Helena</contact><distDate>2026</distDate><depositr>Mendes Oliveira, Helena</depositr><depDate>2026-02-13</depDate></distStmt></citation><stdyInfo><subject><keyword>Arts and Humanities</keyword><keyword>Social Sciences</keyword><keyword>spoken syllables</keyword><keyword>speech perception</keyword><keyword>auditory ERPs</keyword><keyword>auditory word recognition</keyword><keyword>word segmentation</keyword><keyword>speech database</keyword><keyword>statistical learning</keyword><keyword>European Portuguese</keyword><topcClas>spoken syllables</topcClas></subject><abstract date="2026-02-13">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. 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