A list of existing implementations that you can use for projects.
How to find them? Talking with people, Google, newsgroups (comp.ai.*), Google Groups (face-rec, ), and the references at the end of this page.
FGA: Fast Genetic Algorithms
HTK: Hidden Markov Model Toolkit (C)
Weka: machine learning for data mining
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Beszedes: Face / Facial features / Expression recognition (C++ / C), skin detection (Matlab)
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OpenVidia: GPU accelerated Computer Vision Library
VXL: Vision-something-libraries
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HTK: Hidden Markov Model Toolkit
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tsylb2: Syllabification software (C)
Qualcomm-ICSI-OGI: speech detection, Wiener filter noise reduction, nonspeech frame dropping
Kleinschmidt: Gabor Feature Extraction for Automatic Speech Recognition
Sonic: Large Vocabulary Continuous Speech Recognition System (C++)
NICO Toolkit: artificial neural network (ANN) toolkit designed and optimized for speech technology applications
MARY: Text to speech system (emotions)
Festival: framework for building speech synthesis systems
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SPTK: Speech Signal Processing Toolkit
NLTK: Natural Language Toolkit (Python)
MALLET: Advanced Machine Learning for Language
TiMBL: Tilburg Memory-Based Learner