10 citations · 23 across the 8 of their papers we have counts for
8 papers
The Impact of Prosodic Segmentation on Speech Synthesis of Spontaneous Speech
Julio Cesar Galdino, Sidney Evaldo Leal, Leticia Gabriella De Souza +6
Spontaneous speech presents several challenges for speech synthesis, particularly in capturing the natural flow of conversation, including turn-taking, pauses, and disfluencies. Al…
A Large Dataset of Spontaneous Speech with the Accent Spoken in São Paulo for Automatic Speech Recognition Evaluation
Rodrigo Lima, Sidney Evaldo Leal, Arnaldo Candido Junior +1
We present a freely available spontaneous speech corpus for the Brazilian Portuguese language and report preliminary automatic speech recognition (ASR) results, using both the Wav2…
Evaluating OpenAI's Whisper ASR for Punctuation Prediction and Topic Modeling of life histories of the Museum of the Person
Lucas Rafael Stefanel Gris, Ricardo Marcacini, Arnaldo Candido Junior +3
Automatic speech recognition (ASR) systems play a key role in applications involving human-machine interactions. Despite their importance, ASR models for the Portuguese language pr…
Interpretability Analysis of Deep Models for COVID-19 Detection
Daniel Peixoto Pinto da Silva, Edresson Casanova, Lucas Rafael Stefanel Gris +8
During the outbreak of COVID-19 pandemic, several research areas joined efforts to mitigate the damages caused by SARS-CoV-2. In this paper we present an interpretability analysis…
Bringing NURC/SP to Digital Life: the Role of Open-source Automatic Speech Recognition Models
Lucas Rafael Stefanel Gris, Arnaldo Candido Junior, Vinícius G. dos Santos +4
The NURC Project that started in 1969 to study the cultured linguistic urban norm spoken in five Brazilian capitals, was responsible for compiling a large corpus for each capital.…
ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion
Edresson Casanova, Christopher Shulby, Alexander Korolev +4
We explore cross-lingual multi-speaker speech synthesis and cross-lingual voice conversion applied to data augmentation for automatic speech recognition (ASR) systems in low/medium…
NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese
Sidney Evaldo Leal, Magali Sanches Duran, Carolina Evaristo Scarton +2
This paper presents and makes publicly available the NILC-Metrix, a computational system comprising 200 metrics proposed in studies on discourse, psycholinguistics, cognitive and c…
CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese
Arnaldo Candido Junior, Edresson Casanova, Anderson Soares +8
Automatic Speech recognition (ASR) is a complex and challenging task. In recent years, there have been significant advances in the area. In particular, for the Brazilian Portuguese…