aalto-speech Goto Github PK
Name: Aalto Speech Research
Type: Organization
Location: Espoo, Finland
Blog: https://www.aalto.fi/en/department-of-signal-processing-and-acoustics/speech-recognition
Name: Aalto Speech Research
Type: Organization
Location: Espoo, Finland
Blog: https://www.aalto.fi/en/department-of-signal-processing-and-acoustics/speech-recognition
A collection of resources related to the Lahjoita puhetta speech corpus.
Installation scripts for used modules in Aalto ASR research group
DigiTala is a Moodle plugin for assessing L2 Finnish and Swedish speech automatically. Cite as: "von Zansen, A., Alanen, T., Al-Ghezi, R., Erkkilä, J., Harjunpää, T., Heijala, M., Kallio, H. (2022). DigiTala Moodle plugin. https://github.com/aalto-speech/moodle-mod_digitala "
Morfessor is a tool for unsupervised and semi-supervised morphological segmentation
Morfessor demonstration
Morfessor EM+Prune
Morphological word class training
Named Entity Recognition for Finnish Language
A Neural entity linking system trained on a Finnish sports magazine data
cross-platform widgetset for SDL (a new home for old code)
RL-KLM implementation that can be used to estimate task completion times for user interface.
Privacy policies for the language learning games developed in collaboration with University of Helsinki Cognitive Brain Research group.
SpeechBrain baseline recipes for Finnish Parliament data
Speaker diarization scripts, based on AaltoASR
Implementation of different curriculum learning (CL) methods for speechbrain's ASR recipes.
Baseline E2E AED model for Lahjoita Puhetta in SpeechBrain
Properly handle position-dependent phones in a subword lexicon FST
Tools for the Swedish portion of the Finnish parliament data
A toolkit for producing n-gram language models. The highlights are the implementation of Kneser-Ney growing and revised Kneser pruning methods.
Decoders for AaltoASR acoustic models.
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