A comparison of session variability compensation techniques for SVM-based speaker recognition

No abstract is available for this paper.

• Publication year

  2007

• Venue

  Interspeech

• Publication date

  Unknown publication date

• Fields of study

  Computer Science

• Identifiers
  DOI 10.21437/Interspeech.2007-150
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• SVM Speaker Verification Using Session Variability Modelling and GMM Supervectors

  2007cited by this paper
• Support vector machines using GMM supervectors for speaker verification

  2006cited by this paper
• Experiments in Session Variability Modelling for Speaker Verification

  2006influential reference
• SVM Based Speaker Verification using a GMM Supervector Kernel and NAP Variability Compensation

  2006influential reference
• Factor analysis simplified [speaker verification applications]

  2005cited by this paper
• Channel compensation for SVM speaker recognition

  2004cited by this paper
• The Fisher Corpus: a Resource for the Next Generations of Speech-to-Text

  2004cited by this paper
• Fusing discriminative and generative methods for speaker recognition: experiments on switchboard and NFI/TNO field data

  2004cited by this paper
• Feature warping for robust speaker verification

  2001cited by this paper
• IEEE International Conference on Acoustics Speech and Signal Processing

  2001cited by this paper
• Speaker Verification Using Adapted Gaussian Mixture Models

  2000cited by this paper
• Support-Vector Networks

  1995cited by this paper

• An improved feature extraction for Hindi language audio impersonation attack detection

  2024cites this paper
• Spoof Detection using Sequentially Integrated Image and Audio Features

  2023cites this paper
• Speaker Recognition Using Noise Robust Features and LSTM-RNN

  2021cites this paper
• Discriminative Training Using Noise Robust Integrated Features and Refined HMM Modeling

  2018cites this paper
• Speaker Identification based on GFCC using GMM-UBM

  2016cites this paper
• Relevance factor of maximum a posteriori adaptation for GMM-NAP-SVM in speaker and language recognition

  2015cites this paper
• GAMMATONE AND MFCC FEATURES IN SPEAKER RECOGNITION

  2014cites this paper
• The importance of using between-session test data in evaluating the performance of forensic-voice-comparison systems

  2012cites this paper
• Adaptive filtering for noisy and mismatched conditions in speaker recognition

  2011cites this paper
• The Delta-Phase Spectrum With Application to Voice Activity Detection and Speaker Recognition

  2011cites this paper
• Measuring, refining and calibrating speaker and language information extracted from speech

  2010cites this paper
• A Comparison of Session Variability Compensation Approaches for Speaker Verification

  2010cites this paper
• QUT Speaker Identity Verification system for EVALITA 2009

  2010cites this paper
• Data-Driven Background Dataset Selection for SVM-Based Speaker Verification

  2010cites this paper
• Experiments in SVM-based Speaker Verification Using Short Utterances

  2010cites this paper
• Speaker Recognition in Smart Environments

  2010cites this paper
• QUT Speaker Identity Veri cation System for EVALITA 2009

  2009cites this paper
• Scatter Difference NAP for SVM Speaker Recognition

  2009cites this paper
• Improved SVM speaker verification through data-driven background dataset collection

  2009cites this paper
• Improved GMM-based speaker verification using SVM-driven impostor dataset selection

  2009cites this paper
• Data-Driven Impostor Selection for T-Norm Score Normalisation and the Background Dataset in SVM-Based Speaker Verification

  2009cites this paper
• 40 Years of Progress in Automatic Speaker Recognition

  2009cites this paper
• Simplified factor analysis in speaker verification

  2008cites this paper