|
|
|
|
|
Amira Dhouib, Achraf Othman, Oussama El Ghoul, Mohamed Koutheair Khribi and Aisha Al Sinani
Automatic Speech Recognition (ASR), also known as Speech-To-Text (STT) or computer speech recognition, has been an active field of research recently. This study aims to chart this field by performing a Systematic Literature Review (SLR) to give insight i...
ver más
|
|
|
|
|
|
|
|
|
Kudakwashe Zvarevashe and Oludayo O. Olugbara
Most of the studies on speech emotion recognition have used single-language corpora, but little research has been done in cross-language valence speech emotion recognition. Research has shown that the models developed for single-language speech recogniti...
ver más
|
|
|
|
|
|
|
|
|
Tessfu Geteye Fantaye, Junqing Yu and Tulu Tilahun Hailu
Deep neural networks (DNNs) have shown a great achievement in acoustic modeling for speech recognition task. Of these networks, convolutional neural network (CNN) is an effective network for representing the local properties of the speech formants. Howev...
ver más
|
|
|
|
|
|
|
|
|
Bhagya Nathali Silva, Murad Khan, Ruchire Eranga Wijesinghe, Samantha Thelijjagoda and Kijun Han
Survivors of either a hemorrhagic or ischemic stroke tend to acquire aphasia and experience spontaneous recovery during the first six months. Nevertheless, a considerable number of patients sustain aphasia and require speech and language therapy to overc...
ver más
|
|
|
|
|
|
|
|
|
Kostadin Mishev, Aleksandra Karovska Ristovska, Dimitar Trajanov, Tome Eftimov and Monika Simjanoska
This paper presents MAKEDONKA, the first open-source Macedonian language synthesizer that is based on the Deep Learning approach. The paper provides an overview of the numerous attempts to achieve a human-like reproducible speech, which has unfortunately...
ver más
|
|
|
|