Segmentation of speech into its corresponding phones has become very important issue in many speech processing areas such as speech recognition, speech analysis, speech synthesis, and speech database. In this paper, for accurate segmentation in speech recognition applications, we introduce Distinctive Phonetic Feature (DPF) based feature extraction using a two-stage MLN (Multi-Layer Neural Netw...

The algorithms for the reduction of the number of features without degrading the performance of pattern recognition systems play an important role in real applications. In this work a new algorithm for feature selection is proposed. This algorithm is based on the Discriminative Feature Extraction (DFE) technique and has been applied to speech recognition. The experimental results show that the ...

Abstract —The research on speech recognition systems currently focuses the analysis of robust systems. When signals are combined with noise, system becomes distracted, struggling to identify sounds. Therefore, development a continues be carried out. The principle is eliminate noise from and restore original information signals. In this paper, researchers conducted frequency domain one stage Mel...

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Robust speaker feature extraction under noise conditions is an important issue for application of a speaker recognition system. It is well known that LPC cepstrum, which expresses the spectral envelope, is e ective for speaker recognition. This implies that the spectral rough structure is e ective for speaker recognition. However, LPC cepstrum is a noise-sensitive feature. On the other hand, sp...