Speaker verification using Lasso based sparse total variability supervector with PLDA modeling

No abstract is available for this paper.

• Publication year

  2012

• Venue

  Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference

• Publication date

  2012-12-01

• Fields of study

  Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Mixture of PLDA Models in i-vector Space for Gender-Independent Speaker Recognition

  2011cited by this paper
• Robust talking face video verification using joint factor analysis and sparse representation on GMM mean shifted supervectors

  2011cited by this paper
• Speaker verification using sparse representation classification

  2011cited by this paper
• A channel-blind system for speaker verification

  2011cited by this paper
• Front-End Factor Analysis for Speaker Verification

  2011influential reference
• Speaker Verification Using Sparse Representations on Total Variability i-vectors

  2011cited by this paper
• Full-covariance UBM and heavy-tailed PLDA in i-vector speaker verification

  2011cited by this paper
• Sparse Representation for Speaker Identification

  2010cited by this paper
• Comparison of scoring methods used in speaker recognition with Joint Factor Analysis

  2009cited by this paper
• AGNITIO ’ s Speaker Recognition System for EVALITA 2009

  2009cited by this paper
• BUT system description: NIST SRE 2008

  2008cited by this paper
• A Study of Interspeaker Variability in Speaker Verification

  2008cited by this paper
• Speaker and Session Variability in GMM-Based Speaker Verification

  2007cited by this paper
• Probabilistic Linear Discriminant Analysis for Inferences About Identity

  2007influential reference
• Joint Factor Analysis Versus Eigenchannels in Speaker Recognition

  2007influential reference
• SVM Based Speaker Verification using a GMM Supervector Kernel and NAP Variability Compensation

  2006cited by this paper
• Within-class covariance normalization for SVM-based speaker recognition

  2006cited by this paper
• Support vector machines using GMM supervectors for speaker verification

  2006cited by this paper
• Hierarchical Structures of Neural Networks for Phoneme Recognition

  2006cited by this paper
• Eigenvoice modeling with sparse training data

  2005cited by this paper
• The NIST Year 2010 Speaker Recognition Evaluation Plan

  year unknowncited by this paper

• Text-independent speaker recognition under emotional variations affecting voice

  2026cites this paper
• Improving Semi-Supervised Classification for Low-Resource Speech Interaction Applications

  2018cites this paper
• Robust Speaker Verification With Joint Sparse Coding Over Learned Dictionaries

  2015cites this paper