Speaker Identification

Forensic Speaker Identification

Speaker identification by lipreading

This paper describes a new approach for speaker identification based on lipreading. Visual features are extracted from image sequences of the talking face and consist of shape parameters which describe the lip boundary and intensity parameters which describe the grey-level distribution of the mouth area. Intensity information is based on principal component analysis using eigenspaces which defo...

Limited data speaker identification

In this paper, the task of identifying the speaker using limited training and testing data is addressed. Speaker identification system is viewed as four stages namely, analysis, feature extraction, modelling and testing. The speaker identification performance depends on the techniques employed in these stages. As demonstrated by different experiments, in case of limited training and testing dat...

Text-Independent Speaker Identification

Speaker identification is a difficult task, and the task has several different approaches. The state of the art for speaker identification techniques include dynamic time warped(DTW) template matching, Hidden Markov Modeling(HMM), and codebook schemes based on vector quantization(VQ)[2]. In this project, the vector quantization approach will be used, due to ease of implementation and high accur...

Real-time speaker identification

In speaker identification, most of the computation originates from distance or likelihood computations between the feature vectors of the unknown speaker and the models in the database. The identification time depends on the number of feature vectors, their dimensionality, the complexity of the speaker models and the number of speakers. In this paper, we focus on optimizing vector quantization ...