text to speech synthesis
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2021 ◽  
pp. 126-131
Author(s):  
Yue He ◽  
Walcir Cardoso

This study investigated whether a translation tool (Microsoft Translator – MT) and its built-in speech features (Text-To-Speech synthesis – TTS – and speech recognition) can promote learners’ acquisition in pronunciation of English regular past tense -ed in a self-directed manner. Following a pretest/posttest design, we compared 29 participants’ performances of past -ed allomorphy (/t/, /d/, and /id/) by assessing their pronunciation in terms of phonological awareness, phonemic discrimination, and oral production. The findings highlight the affordances of MT regarding its pedagogical use for helping English as a Foreign Language (EFL) learners improve their pronunciation.


2021 ◽  
Vol 42 (6) ◽  
pp. 326-332
Author(s):  
Arif Ahmad ◽  
Md. Reza Selim ◽  
Md. Zafar Iqbal ◽  
M. Shahidur Rahman

2021 ◽  
Author(s):  
Detai Xin ◽  
Yuki Saito ◽  
Shinnosuke Takamichi ◽  
Tomoki Koriyama ◽  
Hiroshi Saruwatari

2021 ◽  
Author(s):  
Nanxin Chen ◽  
Yu Zhang ◽  
Heiga Zen ◽  
Ron J. Weiss ◽  
Mohammad Norouzi ◽  
...  

Author(s):  
Saida Mussakhojayeva ◽  
Aigerim Janaliyeva ◽  
Almas Mirzakhmetov ◽  
Yerbolat Khassanov ◽  
Huseyin Atakan Varol

2021 ◽  
Author(s):  
Hui Lu ◽  
Zhiyong Wu ◽  
Xixin Wu ◽  
Xu Li ◽  
Shiyin Kang ◽  
...  

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