Evolutive Speaker Segmentation using a Repository System

Evolutive speaker segmentation using a repository system

When performing blind speaker segmentation one of the main problems is not knowing how many speakers appear in a conversation and wether they appear once or more than once. In this paper, an iterative method, which is based on the EvolutiveHMM is presented. Two main improvements to this system are introduced. On one hand, a repository generic speaker is used to model all utterances and all spea...

E-HMM approach for learning and adapting sound models for speaker indexing

This paper presents an iterative process for blind speaker indexing based on a HMM. This process detects and adds speakers one after the other to the evolutive HMM (E-HMM). The use of this HMM approach takes advantage of the different components of AMIRAL automatic speaker recognition system (ASR system: frontend processing, learning, loglikelihood ratio computing) from LIA. The proposed soluti...

The LIA-EURECOM RT‘09 Speaker Diarization System

This paper presents LIA-EURECOM’s joint submission to the NIST Rich Transcription 2009 (RT‘09) speaker diarization evaluation. We describe a number of modifications to our previous system which involve beamforming for the multiple distant microphone (MDM) condition and also significant enhancements to the speaker segmentation stage of the core speaker diarization system. These modifications lea...

Evolutive HMM for multi-speaker tracking system

Politecnico di Torino Porto Institutional Repository [ Proceeding ] Loquendo - Politecnico di Torino ’ s 2006 NIST Speaker Recognition Evaluation System

This paper describes the Loquendo – Politecnico di Torino system evaluated on the 2006 NIST speaker recognition evaluation dataset. This system was among the best participants in this evaluation. It combines the results of two independent GMM systems: a Phonetic GMM and a classical GMM. Both systems rely on an intersession variation compensation approach, performed in the feature domain. It all...