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Lahjoita puhetta baseline Kaldi ASR model

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 11 May 2022 Finnish Publisher:Zenodo
Authors: Anssi Moisio;

doi: 10.5281/zenodo.7101461 , 10.5281/zenodo.6539428 , 10.5281/zenodo.7101543

Lahjoita puhetta baseline Kaldi ASR model

Abstract

Lahjoita puhetta baseline speech recognition model, built with the Kaldi toolkit. Trained on 1600 hours of Finnish speech. Described in more detail in the paper "Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks". For details and instructions, see the Github page. This upload includes the acoustic model in "lp_baseline_1600h.zip", the i-vector extractor in "extractor.zip", word-based decoding graph in "graph_word_lp_web_dsp.zip", and subword-based decoding graph in "graph_morfessor_lp_web_dsp.zip".

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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