Dnn-based arabic speech synthesis
A Amrouche, Y Bentrcia… - 2022 9th International …, 2022 - ieeexplore.ieee.org
This article discusses a Deep Neural Network-based Text-to-Speech synthesis for the Arabic
language. Subjective and objective tests were used to evaluate the system. We used the …
language. Subjective and objective tests were used to evaluate the system. We used the …
DNN-based grapheme-to-phoneme conversion for Arabic text-to-speech synthesis
Arabic text-to-speech synthesis from non-diacritized text is still a big challenge, because of
unique Arabic language rules and characteristics. Indeed, the diacritic and gemination …
unique Arabic language rules and characteristics. Indeed, the diacritic and gemination …
Duration modelling and evaluation for Arabic statistical parametric speech synthesis
I Zangar, Z Mnasri, V Colotte, D Jouvet - Multimedia Tools and …, 2021 - Springer
Sound duration is responsible for rhythm and speech rate. Furthermore, in some languages
phoneme length is an important phonetic and prosodic factor. For example, in Arabic …
phoneme length is an important phonetic and prosodic factor. For example, in Arabic …
[PDF][PDF] Duration modeling using DNN for Arabic speech synthesis
Z Imene, Z Mnasri, C Vincent, J Denis… - Proeedings of 9th …, 2018 - unora.unior.it
Duration modeling is a key task for every parametric speech synthesis system. Though such
parametric systems have been adapted to many languages, no special attention was paid to …
parametric systems have been adapted to many languages, no special attention was paid to …
Dnn-based speech synthesis for arabic: modelling and evaluation
A Houidhek, V Colotte, Z Mnasri, D Jouvet - Statistical Language and …, 2018 - Springer
This paper investigates the use of deep neural networks (DNN) for Arabic speech synthesis.
In parametric speech synthesis, whether HMM-based or DNN-based, each speech segment …
In parametric speech synthesis, whether HMM-based or DNN-based, each speech segment …