TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese
Federal University of Technology – Paraná（巴拉那联邦理工大学）；DefinedCrowd Corp.（DefinedCrowd公司）；Federal University of Mato Grosso（马托格罗索联邦大学）；Research Center in Digitalization and Intelligent Robotics (CEDRI)（数字化与智能机器人研究中心（CEDRI））
Edresson Casanova, Arnaldo Candido Junior, Christopher Shulby, Frederico Santos de Oliveira, João Paulo Teixeira, Moacir Antonelli Ponti, Sandra Maria Aluisio
Speech provides a natural way for human-computer interaction. In particular, speech synthesis systems are popular in different applications, such as personal assistants, GPS applications, screen readers and accessibility tools. However, not all languages are on the same level when in terms of resources and systems for speech synthesis. This work consists of creating publicly available resources for Brazilian Portuguese in the form of a novel dataset along with deep learning models for end-to-end speech synthesis. Such dataset has 10.5 hours from a single speaker, from which a Tacotron 2 model with the RTISI-LA vocoder presented the best performance, achieving a 4.03 MOS value. The obtained results are comparable to related works covering English language and the state-of-the-art in Portuguese.
A Large-Scale Dataset for Multi-Class Financial News Classification in Brazilian Portuguese
Federal University of Paraíba（帕拉伊巴联邦大学）；Federal University of Campina Grande（帕坎纳联邦大学）；Federal Rural University of Pernambuco（伯南布哥联邦农村大学）；Federal University of Pernambuco（伯南布哥联邦大学）
MATH-PT: A Math Reasoning Benchmark for European and Brazilian Portuguese
Instituto Superior Técnico, Universidade de Lisboa（里斯本大学理工学院）；Fundação Getulio Vargas（古特曼基金会）；Instituto de Telecomunicações（电信研究所）；Universidade de Coimbra, CISUC/LASI, DEI（科英布拉大学，CISUC/LASI，DEI）；Basque Center for Applied Mathematics（巴斯克应用数学中心）
PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for the Neural Processing of Portuguese
Laboratório de Inteligência Artificial e Ciência de Computadores (LIACC)（人工智能与计算机科学实验室（LIACC））；Faculdade de Engenharia da Universidade do Porto（波尔图大学工程学院）；University of Lisbon（里斯本大学）；Faculdade de Ciências (FCUL)（理学院（FCUL））
Development of the Listening in Spatialized Noise-Sentences (LiSN-S) Test in Brazilian Portuguese: Presentation Software, Speech Stimuli, and Sentence Equivalence
University of Campinas（坎皮纳斯大学）；Pontifical Catholic University of Campinas（坎皮纳斯天主教大学）；Macquarie University（麦考瑞大学）
The Constitution Speaks Nheengatu: An Open MT System and Reproducible Corpus Pipeline for the Amazonian Língua Geral
Universidad Internacional Menéndez Pelayo（国际梅嫩德斯·佩拉约大学）；Universitat Pompeu Fabra（庞培法布拉大学）；PUC-Rio（里约热内卢天主教大学）；Northeastern University（东北大学）；Tribunal Regional Federal da 1 Região（第一区域联邦地区法院）
Discriminant audio properties in deep learning based respiratory insufficiency detection in Brazilian Portuguese
Universidade de São Paulo（圣保罗大学）；Universidade Estadual Paulista（圣保罗州立大学）；Center for Artificial Intelligence (C4AI-USP)（人工智能中心（C4AI-USP））；IBM Corporation（国际商业机器公司（IBM））
The Impact of Prosodic Segmentation on Speech Synthesis of Spontaneous Speech
University of São Paulo（圣保罗大学）；Universidade Estadual Paulista（保罗州立大学）；Universidade Federal de Alagoas（阿拉加斯联邦大学）；NVIDIA Corporation（NVIDIA公司）；Venturus - Centro de Inovação Tecnológica（Venturus技术创新中心）
Enhancing Essay Cohesion Assessment: A Novel Item Response Theory Approach
CESAR School（CESAR学校）；Federal Institute of Espírito Santo（埃斯皮里图圣昂托尼奥联邦理工学院）；Computing Institute - Federal University of Alagoas（计算研究所-阿拉加斯联邦大学）；University of Melbourne（墨尔本大学）；AiBox Lab, Computing Department, Federal Rural University of Pernambuco（AiBox实验室，计算部门，佩纳布科斯联邦农村大学）；Centre for Learning Analytics, Monash University（学习分析中心，莫纳什大学）
Task-Vector Arithmetic for Emotional Expressivity Control in Language-Model-Based Text-to-Speech
Instituto de Biociências, Letras e Ciências Exatas Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP)（生物科学、文学和精确科学学院 帕尔马斯州立大学 "Júlio de Mesquita Filho" (UNESP)）
