کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4977778 1452008 2017 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Automatic syllable segmentation algorithm of Chinese speech based on MF-DFA
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Automatic syllable segmentation algorithm of Chinese speech based on MF-DFA
چکیده انگلیسی
Automatic speech segmentation algorithm plays an important role in speech recognition and spoken term detection. A method called automatic syllable segmentation of Chinese speech based on multi-fractal detrended fluctuation analysis (MF-DFA) is explored in this study. The algorithm attempts to improve the precision and robustness of Chinese syllable segmentation. Firstly, the multi-fractal characteristics of Chinese syllables based on MF-DFA are explored. Secondly, to solve the problem with the unclear boundary of adjacent finals, which leads to the unsatisfactory precision rate of Chinese syllable segmentation in existing algorithms, two-stage voiced decision algorithm is introduced. Finally, the generation of dividing point works by detecting the extreme points of the first-order differential curve for each voiced segment. The experimental results indicated that the multi fractal characteristics based on MF-DFA possess good distinction and robustness, and the proposed algorithm outperforms the earlier approaches in terms of the performance of Chinese syllable segmentation even in low SNR.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Speech Communication - Volume 92, September 2017, Pages 42-51
نویسندگان
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