audio

<p>Features extracted from 100 randomly selected utterances by Stephen
Breyer in Supreme Court Oral Arguments.</p>

datasets

Provides fast, easy feature extraction of human speech and model estimation
with hidden Markov models. Flexible extraction of phonetic features and their
derivatives, with necessary preprocessing options like feature standardization.
Communication can estimate supervised and unsupervised hidden Markov models with
these features, with cross validation and corrections for auto-correlation in
features. Methods developed in Knox and Lucas (2021) <doi:10.7910/DVN.8BTOHQ>.

Christopher Lucas

communication

Feature Extraction and Model Estimation for Audio of Human
Speech

Dean Knox

Guilherme Duarte

Alex Shmuley

Vineet Bansal

Vadym Vashchenko

audio function

Format

Audio features from Stephen Breyer — audio

Audio features from Stephen Breyer

audio: Audio features from Stephen Breyer

Description

Usage

Arguments

Format