7 citations · 14 across the 5 of their papers we have counts for
3 papers · 1 filter
ArmanTTS single-speaker Persian dataset
Mohammd Hasan Shamgholi, Vahid Saeedi, Javad Peymanfard +2
TTS, or text-to-speech, is a complicated process that can be accomplished through appropriate modeling using deep learning methods. In order to implement deep learning models, a su…
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset
Javad Peymanfard, Samin Heydarian, Ali Lashini +3
In recent years, significant progress has been made in automatic lip reading. But these methods require large-scale datasets that do not exist for many low-resource languages. In t…
ArmanEmo: A Persian Dataset for Text-based Emotion Detection
Hossein Mirzaee, Javad Peymanfard, Hamid Habibzadeh Moshtaghin +1
With the recent proliferation of open textual data on social media platforms, Emotion Detection (ED) from Text has received more attention over the past years. It has many applicat…