Amanote Research

Amanote Research

  • Register
  • Sign In

Performance Evaluation of Loss Functions for Margin Based Robust Speech Recognition

International Journal of Advanced Computer Science and Applications- United Kingdom

doi 10.14569/ijacsa.2016.070249

Full Text

Abstract

Available in

Categories

Computer Science

Date

January 1, 2016

Authors

Syed AbbasMaria AndleebRaheela Asif

Publisher

The Science and Information Organization


Related search

Spectral Feature Mapping With MIMIC Loss for Robust Speech Recognition

2018English

Multi-Microphone Correlation-Based Processing for Robust Speech Recognition

1993English

Likelihood-Maximizing-Based Multiband Spectral Subtraction for Robust Speech Recognition

Eurasip Journal on Advances in Signal Processing
HardwareElectronic EngineeringSignal ProcessingElectricalArchitecture
2009English

Robust Recognition of Children's Speech

IEEE Transactions on Speech and Audio Processing
2003English

Acoustical Pre-Processing for Robust Speech Recognition

1989English

Efficient Cepstral Normalization for Robust Speech Recognition

1993English

An Effective Cluster-Based Model for Robust Speech Detection and Speech Recognition in Noisy Environments

Journal of the Acoustical Society of America
AcousticsUltrasonicsArtsHumanities
2006English

High-Dimensional Linear Representations for Robust Speech Recognition

2010English

Gammatone Wavelet Cepstral Coefficients for Robust Speech Recognition

2013English

Amanote Research

Note-taking for researchers

Follow Amanote


© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy