Search Results for author:
Found 5 papers, 0 papers with code
Wavelet Scattering Transform for Improving Generalization in Low-Resourced Spoken Language Identification
We show that LID requires low octave resolution and frequency-scattering is not useful.
Modulation spectral features for speech emotion recognition using deep neural networks
This work explores the use of constant-Q transform based modulation spectral features (CQT-MSF) for speech emotion recognition (SER).
Analysis of constant-Q filterbank based representations for speech emotion recognition
This work analyzes the constant-Q filterbank-based time-frequency representations for speech emotion recognition (SER).
Deep scattering network for speech emotion recognition
We also investigate layer-wise scattering coefficients to analyse the importance of time shift and deformation stable scalogram and modulation spectrum coefficients for SER.
Non-linear frequency warping using constant-Q transformation for speech emotion recognition
In this work, we explore the constant-Q transform (CQT) for speech emotion recognition (SER).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
