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This work demonstrates the development of Keyword Spotting (KWS) system using Vowel Onset Point (VOP), Vector Quantization (VQ) and Hidden Markov Model(HMM) based techniques. The goal of KWS system is to spot the keywords present in the test speech signal, while neglecting rest of the words. In this work, first independent KWS systems will be developed using VOP, VQ and HMM techniques. Each of these...
In this paper, a non-linear spectral estimation for noise reduction is present which is approximated and implemented by double Radial Basis Function (RBF) networks. The simulation results indicate that the method can greatly improve the quality and the intelligibility of speech, and have other advantages such as the widely applicable Signal-to-Noise Ratio (SNR) range, less computation load. Particularly...
The main problem with current Malay text-to-speech (TTS) synthesis system is the poor quality of the generated speech sound. This poor quality is resulted from the inability of traditional TTS system to provide multiple choices of unit for generating more accurate synthesized speech. Most of the current available Malay TTS systems are utilizing diphone concatenation that only support a single unit...
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