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...

Speaker recognition is the identification of the person who is speaking by characteristics of their voices, also called “voice recognition”. The components of Speaker Recognition includes Speaker Identification(SI) and Speaker Verification(SV). Speaker identification is the task of determining an unknown speakers identity. If the speaker claims to be of a certain identity and the voice is to ve...

This paper focuses on speaker detection using multispeaker files both for the enrollment phase and for the test phase. This task was introduced during the 2002 NIST speaker recognition evaluation campaign. Enrollment data is composed of three two-speaker files. Test files are also two-speaker records. The system presented here uses a speaker segmentation process based on an HMM conversation mod...

A system for speaker tracking in broadcast-news audio data is presented and the impacts of the main components of the system to the overall speaker-tracking performance are evaluated. The process of speaker tracking in continuous audio streams involves several processing tasks and is therefore treated as a multistage process. The main building blocks of such system include the components for au...