This paper proposes a new method for text-dependent speaker recognition. The scheme is based on learning (what we refer to as) speaker-specific compensators for each speaker in the system. The compensator is essentially a speaker to speaker transformation which enables the recognition of the speech of one speaker through a speaker-dependent speech recognition system built for the other. Such a ...

Speaker identification has become a mainstream technology in the field of machine learning that involves determining identity speaker from his/her speech sample. A person’s note contains many features can be used to discriminate identity. model identify wide applications such as biometric authentication, security, forensics and human-machine interaction. This paper implements system based on Ra...

This work is focused on speaker clustering methods that are used in speaker diarization systems. The purpose of speaker clustering is to associate together segments that belong to the same speaker and is usually applied in the last stage of the speaker-diarization process. We concentrate on developing proper representations of speaker segments for clustering. We realize two different speaker cl...

In speaker recognition, it is a problem that variation of speech features is caused by sentences and time difference. Speech data includes a phonetic information and a speaker information. If they are separated each other, robust speaker verification will be realized by using only the speaker information. However, it is difficult to separate the speaker information from the phonetic information...

This paper addresses the problem of speaker verification in two speaker conversations, proposing a set of confidence measures to assess the quality of a given speaker segmentation. In addition we study how these measures can be used to estimate the performance of a state of the art speaker verification system. Our approach for speaker segmentation is based on the eigenvoice paradigm. We present...

because of its kinetic nature and computational advantages, the lattice boltzmann method (lbm) has been well accepted as a useful tool to simulate micro-scale flows. the slip boundary model plays a crucial role in the accuracy of solutions for micro-channel flow simulations. the most used slip boundary condition is the maxwell slip model. the results of maxwell slip model are affected by the ac...