Scripts for speech processing
Speech Signal Processing - C++ port of a subset of the Python library SSP
Various scripts that facilitate the preparation of Automatic Speech Recognition related resources
Code for experiments regarding importance sampling for training neural networks
Tracter is a data flow framework.
Partitional data clustering around centers
ISS scripts for handling pronunciation dictionaries
Implementation of fast exact k-means algorithms
Linux Imaging and Deployment Made Easy
A PHP/Symfony bundle which aims to provide - for common CRUD (Create-Read-Update-Delete) operations - the same level of abstraction that Symfony does for forms
A PHP/Symfony bundle which provides a cryptographer resource/service for common cryptographic operations
Weighted multiple-instance learning algorithm based on stochastic gradient descent
Speech Signal Processing - a small collection of routines in Python to do signal processing
A simple and fast algorithm for metric learning, that can do linear metric learning as well as non-linear metric learning through kernels
A reference-based metric to evaluate the accuracy of pronoun translation (APT)
C++ Implementation of the Information Bottleneck System
Phonetic and phonological vocoding platform
Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland.
Compare your face recognition algorithm to baseline algorithms
Keyword extraction and document recommendation in conversations
This is now the official location of the Kaldi project.
PHP Generic Registration Module [GPLv3]
The MASH web application, which acts as the front-end for the computation farm
The MASH Framework
Extension to Kaldi implementing the standard i-vector hyperparameter estimation and i-vector extraction procedure
Juicer is a Weighted Finite State Transducer (WFST) based decoder for Automatic Speech Recognition (ASR).
Implementation of audio degradation processes
Demonstrates the usage of the Data Jukebox Bundle via a sample blog application, along detailed documentation and explanations