Speech and Language Resource Bank
Scikit-learn is an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection, model evaluation, and many other utilities.
Authors: Jérémie du Boisberranger,
Joris Van den Bossche,
Loïc Estève,
Thomas J. Fan,
Alexandre Gramfort,
Olivier Grisel,
Yaroslav Halchenko,
Nicolas Hug,
Adrin Jalali,
Julien Jerphanion,
Guillaume Lemaitre,
Christian Lorentzen,
Jan Hendrik Metzen,
Andreas Mueller,
Vlad Niculae,
Joel Nothman,
Hanmin Qin,
Bertrand Thirion,
Tom Dupré la Tour,
Gael Varoquaux,
Nelle Varoquaux,
Roman Yurchak
Updated: 2022-01-29
Source: https://scikit-learn.org/stable/
Keywords: machine-learning,
Python,
programming,
clustering
This is a collection of pedagogical material within the topic of speech and language technology. The idea is to provide teachers material for their courses, where they can pick and choose material which is appropriate for their own courses and self-study material on-line for anyone interested.
Authors: Tom Bäckström,
Okko Räsänen,
Abraham Zewoudie,
Pablo Pérez Zarazaga,
Liisa Koivusalo
Updated: 2022-01-27
Source: https://wiki.aalto.fi/display/ITSP/Introduction+to+Speech+Processing
Keywords: speech,
language,
communication,
education,
machine-learning,
English
Open-source Python package for exploring, visualizing, and analyzing human neurophysiological data: MEG, EEG, sEEG, ECoG, NIRS, and more.
Authors: Alexandre Gramfort,
Martin Luessi,
Eric Larson,
Denis A. Engemann,
Daniel Strohmeier,
Christian Brodbeck,
Roman Goj,
Mainak Jas,
Teon Brooks,
Lauri Parkkonen,
Matti S. Hämäläinen
Updated: 2021-12-02
Source: https://mne.tools/stable/index.html
Keywords: experiment,
Python,
data,
machine-learning,
neuroscience
The Chinese Readability Index Explorer (CRIE) is composed of four subsystems and incorporates 82 multilevel linguistic features. CRIE is able to conduct the major tasks of segmentation, syntactic parsing, and feature extraction.
Authors: Yao-Ting Sung,
Tao-Hsing Chang,
Wei-Chun Lin,
Kuan-Sheng Hsieh,
Kuo-En Chang
Updated: 2019-09-29
Source: http://www.chinesereadability.net/CRIE/?LANG=CHT
Keywords: linguistics,
syntax,
phonetics,
machine-learning,
Chinese