Abstract: SVM is a novel statistical learning method that has been successfully applied in speaker recognition. However, Extractive feature vectors from the ...
SVM is a novel statistical learning method that has been successfully applied in speaker recognition. However, Extractive feature vectors from the speech ...
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What are the methods of speaker identification?
What is text independent speaker recognition?
In this paper, a novel method is proposed to reduce the noise and input vectors of the SVM. Firstly data dimensions are reduced and noise is removed by using ...
Apr 20, 2024 · This article presents the implementation of Text Independent Speaker Identification system. It involves two parts-" Speech Signal Processing ...
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Nov 26, 2021 · We propose a novel context-dependent (CD) model for large-vocabulary speech recognition (LVSR) that leverages recent advances in using deep ...
In recent years, convolutional neural networks (CNNs) have outperformed conventional methods in end-to-end speaker identification (SI) systems.
Aug 16, 2024 · In recent years, the use of deep learning techniques [11] has significantly improved the performance of speaker identification. Variani et al.
This paper presents an approach to text-independent speaker identification by short utterances. In the training stage, in order to utilize both phoneme ...
A new and novel Text Independent speaker identification model is developed by integrating MFCC's with Independent component analysis(ICA) for obtaining ...
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