18 citations · 55 across the 20 of their papers we have counts for
3 papers · 1 filter
Discovering Phonetic Inventories with Crosslingual Automatic Speech Recognition
Piotr Żelasko, Siyuan Feng, Laureano Moro Velazquez +5
The high cost of data acquisition makes Automatic Speech Recognition (ASR) model training problematic for most existing languages, including languages that do not even have a writt…
CopyPaste: An Augmentation Method for Speech Emotion Recognition
Raghavendra Pappagari, Jesús Villalba, Piotr Żelasko +2
Data augmentation is a widely used strategy for training robust machine learning models. It partially alleviates the problem of limited data for tasks like speech emotion recogniti…
Speaker Sincerity Detection based on Covariance Feature Vectors and Ensemble Methods
Mohammed Senoussaoui, Patrick Cardinal, Najim Dehak +1
Automatic measuring of speaker sincerity degree is a novel research problem in computational paralinguistics. This paper proposes covariance-based feature vectors to model speech a…