Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can…
nlp
classifier
natural-language-processing
feature-extraction
nltk
gaussian-mixture-models
support-vector-machines
mfcc
principal-component-analysis
speech-processing
linear-discriminant-analysis
isomap
spectral-clustering
long-short-term-memory
kernel-pca
spectral-embedding
locally-linear-embedding
linear-prediction-coefficients
speech-utterance
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Updated
Mar 3, 2023 - Python