• Skip to primary navigation
  • Skip to main content
SRI InternationalSRI mobile logo

SRI International

SRI International - American Nonprofit Research Institute

  • About
    • Blog
    • Press room
  • Expertise
    • Advanced imaging systems
    • Artificial intelligence
    • Biomedical R&D services
    • Biomedical sciences
    • Computer vision
    • Cyber & formal methods
    • Education and learning
    • Innovation strategy and policy
    • National security
    • Ocean & space
    • Quantum
    • QED-C
    • Robotics, sensors & devices
    • Speech & natural language
    • Video test & measurement
  • Ventures
  • NSIC
  • Careers
  • Contact
  • 日本支社
Show Search
Hide Search
Speech & natural language publications January 1, 2012 Conference Paper

Towards Noise-Robust Speaker Recognition Using Probabilistic Linear Discriminant Analysis

SRI International January 1, 2012

Abstract

This work addresses the problem of speaker verification where additive noise is present in the enrollment and testing utterances. We show how the current state-of-the-art framework can be effectively used to mitigate this effect. We first look at the degradation a standard speaker verification system is subjected to when presented with noisy speech waveforms. We designed and generated a corpus with noisy conditions, based on the NIST SRE 2008 and 2010 data, built using open-source tools and freely available noise samples. We then show how adding noisy training data in the current i-vectorbased approach followed by probabilistic linear discriminant analysis (PLDA) can bring significant gains in accuracy at various signal-to-noise ratio (SNR) levels. We demonstrate that this improvement is not feature-specific as we present positive results for three disparate sets of features: standard mel frequency cepstral coefficients, prosodic polynomial coefficients and maximum likelihood linear regression (MLLR) transforms.

↓ View online

Share this

Facebooktwitterlinkedinmail

Publication, Speech & natural language publications Conference Paper

How can we help?

Once you hit send…

We’ll match your inquiry to the person who can best help you.

Expect a response within 48 hours.

Career call to action image

Make your own mark.

Search jobs
Our work

Case studies

Publications

Timeline of innovation

Areas of expertise

Blog

Institute

Leadership

Press room

Media inquiries

Compliance

Privacy policy

Careers

Job listings

Contact

SRI Ventures

Our locations

Headquarters

333 Ravenswood Ave
Menlo Park, CA 94025 USA

+1 (650) 859-2000

Subscribe to our newsletter

日本支社

SRI International

  • Contact us
  • Privacy Policy
  • Cookies
  • DMCA
  • Copyright © 2022 SRI International