Advancements in Robust Speech Processing

Abstract

The Advancements in Robust Speech Processing effort has investigated and developed novel approaches for multiple speech processing technologies to support work being conducted by the Air Force Research Laboratory. Specific areas of research addressed speaker ID with specific emphasis on speaker variability, Language and Dialect ID (LID-DID), speaker diarization, robust automatic speech recognition and Noise and Speaker Modeling.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2020
Accession Number
AD1097430

Entities

People

  • John H. Hansen
  • Wayne Bray

Organizations

  • University of Texas at Dallas

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Artificial Intelligence Software
  • Automated Speech Recognition
  • Computational Science
  • Computer Languages
  • Computer Vision
  • Dimensionality Reduction
  • Factor Analysis
  • Information Science
  • Language
  • Machine Learning
  • Natural Language Processing
  • Neural Networks
  • Recognition
  • Recurrent Neural Networks
  • Supervised Machine Learning

Readers

  • Software Engineering
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation