DEEP TRIPHONE EMBEDDING IMPROVES PHONEME RECOGNITION
Table 2: Phoneme recognition accuracy.
['Training Methods', 'Phoneme accuracy']
We report phoneme recognition accuracy by taking into account all the substitution, deletion and insertion errors. The performance of variants of the proposed methods, namely, HMM+DTE-LDA+DNN and HMM+DTE-PCA+DNN indicates that the proposed method delivers superior performance, hence offers a huge potential to build efficient and robust speech recognition systems. More precisely, variants of proposed methods achieve as high as an absolute improvement of 2.11% and relatively improvement of 6.61%; when compared with a very strong baseline. It is important to note that the further optimization of dimension of DTE might results in further improvement which was fixed to 300 in our experiments.