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In this paper, we review speech enhancement techniques. Speech enhancement is necessary for many applications in which clean speech signal is important for further processing. The speech enhancement techniques mainly focus on removal of noise from speech signal. The various types of noise and techniques for removal of those noises are presented in this(More)
This paper presents text-independent speaker identification scheme based on the combination of dynamic features with Mel Frequency Cepstral Coefficients (MFCC). First, MFCCs are used to extract the speaker specific features and then vector quantization is used to model the speaker. We compare the performance of speaker identification system using number of(More)
In this paper, the performance of speaker modeling schemes such as vector quantization (VQ) and Gaussian mixture model (GMM) is compared for speaker identification. Along with the effective size of feature set, model based approaches are typically used as a solution for robustness issues of speaker recognition systems. Gaussian Mixture Model (GMM) is(More)
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