Automatic Speaker Recognition Using SVM
نویسندگان
چکیده
In this paper we describe the use of Wavelet Transform (WT) and SVM in the process of recognizing a speaker. Feature extraction and Denoising is done through Wavelet Transform and SVM is used in order to serve the purpose of classifier.
منابع مشابه
Efficient Parameterization for Automatic Speaker Recognition Using Support Vector Machines
Recent advances in the field of speaker recognition have proved to highly outperform algorithms. However this performance degrades when limited data are presented. This paper presents examples on how SVM can improve speaker recognition. The main contribution in this approach is the use of new low-dimensional vectors when training data are limited. We show how different kernels function of Suppo...
متن کاملInvestigation of Decision Tree Induction, Probabilistic Technique and SVM For Speaker Identification
Speaker recognition and speech recognition are both related. As against determining what was said, speaker recognition enables the automatic recognition of who is speaking based on the speaker’s voice’s unique characteristics. This paper presents a simple approach to text dependent speaker identification and is based on the Symlet wavelets for feature extraction. The extracted features are then...
متن کاملSynthetic Speech Spoofing Detection using MFCC and SVM
Nowadays synthetic voice is frequently used to defraud a biometric access system which are speaker recognition based. This paper presents synthetic speech detection in automatic speaker verification system (ASV) for the purpose of spoof detection. Feature extraction is done by canonical Mel Frequency Cepstral Coefficients (MFCC) algorithm and classification of natural and synthetic voice are do...
متن کاملAutomatic Face Recognition via Local Directional Patterns
Automatic facial recognition has many potential applications in different areas of humancomputer interaction. However, they are not yet fully realized due to the lack of an effectivefacial feature descriptor. In this paper, we present a new appearance based feature descriptor,the local directional pattern (LDP), to represent facial geometry and analyze its performance inrecognition. An LDP feat...
متن کاملSpeaker Recognition System for Limited Speech Data Using High-Level Speaker Specific Features and Support Vector Machines
High-level speaker-specific features (HLSSFs), such as the style of pronunciation of words, their use, phonotactics and prosody, form the main subjects of state-of-the-art research on automatic speaker recognition (ASR). In this paper, we experimentally verify HLSSF extraction and support vector machine (SVM)-based modelling techniques. The HLSSF extraction produces patterns of symbols for each...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015