103 citations · 159 across the 9 of their papers we have counts for
11 papers
Representation Learning Strategies to Model Pathological Speech: Effect of Multiple Spectral Resolutions
Gabriel Figueiredo Miller, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave +1
This paper considers a representation learning strategy to model speech signals from patients with Parkinson's disease and cleft lip and palate. In particular, it compares differen…
Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices
Abner Hernandez, Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa +3
Collecting speech data is an important step in training speech recognition systems and other speech-based machine learning models. However, the issue of privacy protection is an in…
Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition
Abner Hernandez, Paula Andrea Pérez-Toro, Elmar Nöth +3
State-of-the-art automatic speech recognition (ASR) systems perform well on healthy speech. However, the performance on impaired speech still remains an issue. The current study ex…
Common Phone: A Multilingual Dataset for Robust Acoustic Modelling
Philipp Klumpp, Tomás Arias-Vergara, Paula Andrea Pérez-Toro +2
Current state of the art acoustic models can easily comprise more than 100 million parameters. This growing complexity demands larger training datasets to maintain a decent general…
Classification of Emotions and Evaluation of Customer Satisfaction from Speech in Real World Acoustic Environments
Luis Felipe Parra-Gallego, Juan Rafael Orozco-Arroyave
This paper focuses on finding suitable features to robustly recognize emotions and evaluate customer satisfaction from speech in real acoustic scenarios. The classification of emot…
Gender Recognition in Informal and Formal Language Scenarios via Transfer Learning
Daniel Escobar-Grisales, Juan Camilo Vasquez-Correa, Juan Rafael Orozco-Arroyave
The interest in demographic information retrieval based on text data has increased in the research community because applications have shown success in different sectors such as se…