نتایج جستجو برای: mel frequency cepstral coefficient

تعداد نتایج: 644186  

2000
Dan Chazan Ron Hoory Gilad Cohen Meir Tzur

This paper presents a novel low complexity, frequency domain algorithm for reconstruction of speech from the melfrequency cepstral coe cients (MFCC), commonly used by speech recognition systems, and the pitch frequency values. The reconstruction technique is based on the sinusoidal speech representation. A set of sine-wave frequencies is derived using the pitch frequency and voicing decisions, ...

2017
Asma Mansour Zied Lachiri

Enhancing the performance of emotional speaker recognition process has witnessed an increasing interest in the last years. This paper highlights a methodology for speaker recognition under different emotional states based on the multiclass Support Vector Machine (SVM) classifier. We compare two feature extraction methods which are used to represent emotional speech utterances in order to obtain...

2014
Hajer Rahali Zied Hajaiej Noureddine Ellouze

The goal of speech parameterization is to extract the relevant information about what is being spoken from the audio signal. In speech recognition systems Mel-Frequency Cepstral Coefficients (MFCC) and Relative Spectral Mel-Frequency Cepstral Coefficients (RASTA-MFCC) are the two main techniques used. It will be shown in this paper that it presents some modifications to the original MFCC method...

Journal: :International Journal of Research in Engineering and Technology 2014

Journal: :Computers, materials & continua 2022

Automatic speaker recognition (ASR) systems are the field of Human-machine interaction and scientists have been using feature extraction matching methods to analyze synthesize these signals. One most commonly used for is Mel Frequency Cepstral Coefficients (MFCCs). Recent researches show that MFCCs successful in processing voice signal with high accuracies. represents a sequence signal-specific...

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