Evaluating sentence segmentation in different datasets of neuropsychological language tests in brazilian portuguese (2020)
- Authors:
- USP affiliated authors: ALUISIO, SANDRA MARIA - ICMC ; CASANOVA, EDRESSON - ICMC
- Unidade: ICMC
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS; COMPROMETIMENTO COGNITIVO LEVE; NEUROPSICOLOGIA
- Keywords: Sentence Segmentation; Impaired Speech; Neuropsychological Language Tests
- Language: Inglês
- Imprenta:
- Publisher: European Language Resources Association
- Publisher place: Paris
- Date published: 2020
- Source:
- Título: Proceedings
- Conference titles: Conference on Language Resources and Evaluation - LREC
-
ABNT
CASANOVA, Edresson et al. Evaluating sentence segmentation in different datasets of neuropsychological language tests in brazilian portuguese. 2020, Anais.. Paris: European Language Resources Association, 2020. Disponível em: https://www.aclweb.org/anthology/2020.lrec-1.317. Acesso em: 28 dez. 2025. -
APA
Casanova, E., Treviso, M. V., Hübner, L. C., & Aluísio, S. M. (2020). Evaluating sentence segmentation in different datasets of neuropsychological language tests in brazilian portuguese. In Proceedings. Paris: European Language Resources Association. Recuperado de https://www.aclweb.org/anthology/2020.lrec-1.317 -
NLM
Casanova E, Treviso MV, Hübner LC, Aluísio SM. Evaluating sentence segmentation in different datasets of neuropsychological language tests in brazilian portuguese [Internet]. Proceedings. 2020 ;[citado 2025 dez. 28 ] Available from: https://www.aclweb.org/anthology/2020.lrec-1.317 -
Vancouver
Casanova E, Treviso MV, Hübner LC, Aluísio SM. Evaluating sentence segmentation in different datasets of neuropsychological language tests in brazilian portuguese [Internet]. Proceedings. 2020 ;[citado 2025 dez. 28 ] Available from: https://www.aclweb.org/anthology/2020.lrec-1.317 - Deep learning approaches for speech synthesis and speaker verification
- SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model
- ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion
- Speech2Phone: a novel and efficient method for training speaker recognition models
- TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese
- TTS applied to the generation of datasets for automatic speech recognition
- Evaluating semantic similarity methods to build semantic predictability norms of reading data
- Brazilian portuguese speech recognition using Wav2vec 2.0
- Síntese de fala aplicada à geração de conjunto de dados para reconhecimento automático de fala
- BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus
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