The SRI NIST 2008 Speaker Recognition Evaluation System

Citation

Kajarekar, S. S., Scheffer, N., Graciarena, M., Shriberg, E., Stolcke, A., Ferrer, L., & Bocklet, T. (2009, April). The SRI NIST 2008 speaker recognition evaluation system. In 2009 IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 4205-4208). IEEE.

Abstract

The SRI speaker recognition system for the 2008 NIST speaker recognition evaluation (SRE) incorporates a variety of models and features, both cepstral and stylistic. We highlight the improvements made to specific subsystems and analyze the performance of various subsystem combinations in different data conditions. We show the importance of language and nativeness conditioning, as well as the role of ASR for speaker verification.

Index Terms— speaker recognition, prosody, speech recognition

↓ Download

Read more from SRI

  • An arid, rural Nevada landscape

    Can AI help us find valuable minerals?

    SRI’s machine learning-based geospatial analytics platform, already adopted by the USGS, is poised to make waves in the mining industry.

  • Two students in a computer lab

    Building a lab-to-market pipeline for education

    The SRI-led LEARN Network demonstrates how we can get the best evidence-based educational programs to classrooms and students.

  • Code reflected in a man's eyeglasses

    LLM risks from A to Z

    A new paper from SRI and Brazil’s Instituto Eldorado delivers a comprehensive update on the security risks to large language models.