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Record W7117554489 · doi:10.5753/erbase.2025.13661

PATRICIA: um sintetizador de canto em tempo real para o português do Brasil

2025· article· W7117554489 on OpenAlexaff
Leonardo A. Z. Brum, Eduardo A. L. Meneses, Edward David Moreno

Bibliographic record

Venuenot available
Typearticle
Language
FieldMedicine
TopicVoice and Speech Disorders
Canadian institutionsSociety for Arts and Technology
Fundersnot available
KeywordsCanto

Abstract

fetched live from OpenAlex

Este artigo descreve PATRICIA, um sistema que realiza a síntese de voz cantada em tempo real para o idioma português do Brasil. Um mapeamento tecnológico e uma revisão sistemática foram conduzidos a fim de estudar os mais recentes desenvolvimentos na área de síntese de canto em tempo real e fornecer diretrizes para o projeto e implementação de PATRICIA. Síntese concatenativa baseada em samples com arquivos texto provendo antecipadamente a letra da canção foi a abordagem escolhida para desempenhar a tarefa. As funcionalidades mais recentemente implementadas são apresentadas, além de futuras melhorias, apontadas no intuito de que o sintetizador supere suas atuais limitações em versões futuras.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.422
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.311
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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