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alice

Automatic LInguistic Unit Count Estimator (ALICE)

ids_ads_predictability_cogsci2017

MATLAB scripts for comparing intonational (F0) predictability of infant- and adult-directed speech, as reported in Räsänen, Kakouros & Soderstrom: Connecting stimulus-driven attention to the properties of infant-directed speech — Is exaggerated intonation also more surprising? (Proc. CogSci-2017, London, UK)

ids_predictability

Scripts for the experiments reported Räsänen, Kakouros & Soderstrom (in press, Cognition): Is infant-directed speech interesting because it is surprising? – Linking properties of IDS to statistical learning and attention at the prosodic level

syllable-based-unsupervised-word-learning-zerospeech-2015-challenge

Syllable-based-unsupervised-word-learning--Zerospeech-2015-Challenge

testgit

tf-example-models

TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.

thetaoscillator

Oscillator-based syllabification algorithm MATLAB implementation from Räsänen, Doyle & Frank (2018). Pre-linguistic segmentation of speech into syllable-like units. Cognition, Vol. 171, pp. 130–150.

voice-type-classifier

A deep learning model for classifying audio frames into [SPEECH, KCHI, CHI, MAL, FEM] classes.

wiki

This repo contains the source code for the deployment of the crowdsourced wiki for the Faculty of Information Technology and Communication Sciences at Tampere University.