Phoneme Recognition Based on Principal Component nalysis
Xianju Liu, Nikos E. Mastorakis, Zhongxiao Li, Xiaodong Zhuang · 2020
A new method for vowel phoneme signal recognition is proposed based on principal component analysis. First, the subspace of each vowel signal is estimated by principal component analysis on several vowel signals. Further, the vowel signal to be recognized is divided into frames, and each frame is separately projected into each of the obtained subspaces. In theory, the representation error obtained by projecting the signal into its corresponding subspace is smallest, based on which the vowel phoneme signals can be accurately recognized. The effectiveness of the proposed phoneme recognition method based on PCA is proved by experiments.