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: 2022-01-18
Source: https://scikit-learn.org/stable/
Keywords: machine-learning,
Python,
programming,
clustering
CMU Sphinx is a set of speech recognition development libraries and tools that can be linked in to speech-enable applications.
Authors: Evandro Gouvea,
Peter Gorniak,
Philip Kwok,
Paul Lamere,
Beth Logan,
Pedro Moreno,
Bhiksha Raj,
Mosur Ravishankar,
Bent Schmidt-Nielsen,
Rita Singh,
JM Van Thong,
Willie Walker,
Manfred Warmuth,
Joe Woelfel,
Peter Wolf
Updated: 2019-10-23
Source: https://cmusphinx.github.io/
Keywords: speech,
programming,
Java,
experiment,
English,
French,
Mandarin,
German,
Dutch,
Russian
AUX (AUditory syntaX) is a scripting syntax specifically designed to describe and process auditory signals. In a nutshell, it consists of 1) functions to create and process sound signals, 2) operators particularly relevant to sounds, and 3) usual mathematic operations that you may find in any programming language.
Authors: Bomjun J. Kwon
Updated: 2016-07-20
Source: http://auditorypro.com/download/aux/
Keywords: speech,
language,
audition,
psychoacoustic,
word-recognition,
experiment,
education,
programming,
English