Speech bandwidth extension method using speech recognition and speech synthesis

Author(s):  
Masashi Takashina ◽  
Shingo Kuroiwa ◽  
Satoru Tsuge ◽  
Fuji Ren
Author(s):  
Zhe Chen ◽  
Chengyong Zhao ◽  
Guosheng Geng ◽  
Fuliang Yin

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.


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