کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
408795 | 679042 | 2009 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Language-independent, neural network-based, text-to-phones conversion
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
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چکیده انگلیسی
A speech synthesizer based on an artificial neural network (ANN) is being developed for application to deeply embedded systems for language-independent speech commands on hands-free interfaces. A feed-forward, backpropagation, artificial neural network has been trained for this purpose using a custom-developed, regular expression-based, text-to-phone transcription engine to generate training patterns.Initial experimental results show the expected properties of language independence and in-system learning capability of this approach. The ANN demonstrates the capacity to generalize and map the words missing at training time, as well as to reduce contradictions related to different pronunciations for the same word.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 73, Issues 1–3, December 2009, Pages 87–96
Journal: Neurocomputing - Volume 73, Issues 1–3, December 2009, Pages 87–96
نویسندگان
Mario Malcangi, David Frontini,