Boosting Local Spectro-Temporal Features for Speech Analysis
Computation and Language
2023-08-08 v3 Sound
Audio and Speech Processing
Abstract
We introduce the problem of phone classification in the context of speech recognition, and explore several sets of local spectro-temporal features that can be used for phone classification. In particular, we present some preliminary results for phone classification using two sets of features that are commonly used for object detection: Haar features and SVM-classified Histograms of Gradients (HoG).
Keywords
Cite
@article{arxiv.2305.10270,
title = {Boosting Local Spectro-Temporal Features for Speech Analysis},
author = {Michael Guerzhoy},
journal= {arXiv preprint arXiv:2305.10270},
year = {2023}
}
Comments
Master's project, University of Toronto, 2010