TEXT INDEPENDENT SPEAKER RECOGNITION SYSTEM USING WAVELET FILTERS.
Journal Title: International Journal of Advanced Research (IJAR) - Year 2019, Vol 7, Issue 9
Abstract
This paper depicts a new speech feature extraction technique for use in automatic speaker recognition (ASR). Wavelets have been shown to be successful front end processors for speaker recognition. Front-end or feature extractor is the first component in an automatic speaker recognition system. Feature extraction transforms the raw speech signal into a compact but effective representation that is more stable and discriminative than the original signal. Since the front-end is the first component in the chain, the quality of the later components (speaker modeling and pattern matching) is strongly determined by the quality of the front-end. In other words, classification can be at most as accurate as the features. Wavelet Transform coefficients can be utilized to feature parameters in various forms. An appropriate transformation base is also important for the feature extraction. To use the coefficients directly as the feature is the simplest way to exploit the wavelet transform characteristics. We thus introduce a simple feature extraction model based on the result of DWT. In order to parameterize the speech signal, we should first decompose the signal in the dyadic form using the Mallat algorithm Speaker Recognition System in text independent mode has been developed and tested on set of 100, 50 and 25 speakers. The performance of system was tested with 2 sec, 3 sec and 5 sec speech samples which were different from the text used for training (i.e., text independent mode) respectively. A speaker was said to be identified if the Euclidean distance is minimum for VQ.
Authors and Affiliations
R. A. Deshpande , B. B. Musmade and Vaishnavi V Pawar.
Keywords
Related Articles
- EP ID EP656779
- DOI 10.21474/IJAR01/9712
- Views 99
- Downloads 0
SEASONAL VARIATIONS OF SULFUR DIOXIDE IN THE AIR IN ZENICA CITY DURING 11 YEARS PERIOD 2006 ? 2016.
This study presents the results of eleven years of measurement of a sulfur dioxide campaign, in three places in Zenica City between January 1 2006 and December 31 2016. This Study was performed to analyze the periods of...
PSYCHOLOGICAL BARRIERS TO LEARNING EFL LISTENING AND SPEAKING AT THE HSC LEVEL: A STUDY IN DHAKA DIVISION, BANGLADESH.
The study aimed at exploring the psychological factors affecting EFL listening and speaking at the HSC level. The researcher primarily reviewed extensive literature in the respective field and finally selected 12 HSC stu...
EREBID MOTHS REPORTED FROM JAMMU DISTRICT (JAMMU AND KASHMIR STATE), INDIA.
Erebidae is the largest family of the order Lepidoptera and well-defined group of moths. Moths of family Erebidae were investigated during May 2012 to April 2013 to determine their diversity and occurrence. All species o...
ROLE OF PHYSICAL THERAPY IN THE MANAGEMENT OF OROFACIAL CANCER.
Aim: To review the existing literature on orofacial cancer and imply the importance of physiotherapy in the management of orofacial Cancer. Methodology: Search strategies from databases like Google Scholar, PubMed, PubMe...
PROJECTION OF INTENSITY DURATION FREQUENCY CURVES IN A CONTEXT OF CLIMATE CHANGE IN THE CITY OF LOME (WEST AFRICA).
Urban hydrology models are tools for dimensioning and diagnosing drainage systems for runoff from impervious surfaces. These models undergo an irreversible upheaval in the face of climate changes that impact rainfall int...