no code implementations • 4 Apr 2022 • Abner Hernandez, Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Andreas Maier, Seung Hee Yang
Collecting speech data is an important step in training speech recognition systems and other speech-based machine learning models.
no code implementations • 4 Apr 2022 • Abner Hernandez, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave, Andreas Maier, Seung Hee Yang
Compared to using Fbank features, XLSR-based features reduced WERs by 6. 8%, 22. 0%, and 7. 0% for the UASpeech, PC-GITA, and EasyCall corpus, respectively.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • LREC 2022 • Philipp Klumpp, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave
A Wav2Vec 2. 0 acoustic model was trained with the Common Phone to perform phonetic symbol recognition and validate the quality of the generated phonetic annotation.
no code implementations • 21 Dec 2021 • Philipp Klumpp, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Paula Andrea Pérez-Toro, Juan Rafael Orozco-Arroyave, Anton Batliner, Elmar Nöth
As one of the most prevalent neurodegenerative disorders, Parkinson's disease (PD) has a significant impact on the fine motor skills of patients.