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基于DFT的嵌入式普通话语音快速识别.

Authors :
邓力
梁向东
Source :
Research & Exploration in Laboratory. Jun2017, Vol. 36 Issue 6, p128-132. 5p.
Publication Year :
2017

Abstract

Based on the Mandarin pronunciation recognition technology, by the frequency selected from Mandarin speech input cavity resonance curve defined by the pickup, the Chinese word, vowel and consonant Pinyin word sequence can be identified. Combination of Chinese speech consonants, vowels and tones forms Chinese Pinyin sentence sequence. By the syllable by syllable analysis method, the frequency domain analysis technique of amplitude frequency does not need to learn or train for a particular persons voice, words and sentences. The adaptive DFT ( Discrete Fourier Transform) spectral analysis algorithm only occupies a very small amount of calculation. The method can determine the four tones of Mandarin, have fast response speed, small storage space, and can easilybe embedded to other devices. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
10067167
Volume :
36
Issue :
6
Database :
Academic Search Index
Journal :
Research & Exploration in Laboratory
Publication Type :
Academic Journal
Accession number :
124575795