Minho Spoken Syllable Pool (MSSP)

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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]

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Description	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. (2026-02-13)
Subject	Arts and Humanities; Social Sciences
Keyword	spoken syllables, speech perception, auditory ERPs, auditory word recognition, word segmentation, speech database, statistical learning, European Portuguese

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	01_MSSP_Minho Spoken Syllable Pool.tab 01_Database/ Tabular Data - 4.1 KB - Apr 10, 2026 - 0 Downloads 4 Variables, 44 Observations - UNF:6:RTmnMOgagrVF8Y6dZ6/UuQ== Data fileData filesData	View Data Original File Format (MS Excel Spreadsheet) Tab-Delimited RData Format Variable Metadata Data File Citation RIS EndNote XML BibTeX

Citation Metadata

Dataset Persistent ID	doi:10.34622/datarepositorium/KDIXY6
Publication Date	2026-04-10
Title	Minho Spoken Syllable Pool (MSSP)
Subtitle	A European Portuguese Database
Author	Soares, Ana Paula (EPsi) - ScopusID: 15052485400 Mendes Oliveira, Helena (EPsi) - ScopusID: 57190165342
Contact	Use email button above to contact. Mendes Oliveira, Helena (EPsi)
Description	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. (2026-02-13)
Subject	Arts and Humanities; Social Sciences
Keyword	spoken syllables speech perception auditory ERPs auditory word recognition word segmentation speech database statistical learning European Portuguese
Topic Classification	spoken syllables
Language	Portuguese
Production Date	2026
Production Place	Portugal
Contributor	Project Leader : Soares, Ana Paula
Grant Information	Portuguese Foundation for Science and Technology (FCT): UID/01662/2025 Portuguese Foundation for Science and Technology (FCT): 2022.05618.PTDC Portuguese Foundation for Science and Technology (FCT): 2022.05154.CEECIND COMPETE2030-FEDER: 00795200
Distribution Date	2026
Depositor	Mendes Oliveira, Helena
Deposit Date	2026-02-13
Date of Collection	Start: 2023 ; End: 2025
Kind of Data	auditory CV syllables; linguistic descriptors, including IPA and SAMPA transcriptions; segmental and articulatory annotations; orthographic mappings
Related Datasets	http://p-pal.di.uminho.pt/tools

Social Science and Humanities Metadata

Unit of Analysis	CV spoken syllables

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