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KobraSpeech RNN Czech

This is a lightweight speech-to-text model for Czech language. It was trained on the Common Voice dataset.

Training progress

Epoch Loss Val Loss
1 145.0826 101.9806
2 88.5889 80.9404
3 71.0080 72.7689
4 61.9973 68.7629
5 56.7657 60.8039
6 51.5836 56.6200
7 47.6242 58.4478
8 44.3805 54.3059
9 41.5582 49.7450
10 39.1244 51.0741
11 36.9500 46.6725
12 35.0127 45.6165
13 33.2974 47.7714
14 31.6605 45.0911
15 30.0918 43.3004
16 28.8173 42.9870
17 27.5169 42.2732
18 26.3582 42.9355
19 25.2368 42.0441
20 24.2527 41.2783
21 23.3302 40.5552
22 22.3662 42.3867
23 21.5657 41.0113
24 20.7213 42.3488
25 19.9843 41.7464
26 22.3809 40.7493
27 21.5943 40.4331
28 20.6919 41.5385
29 19.9768 41.5923
30 19.2961 39.0283
31 18.6037 40.4818
32 17.9178 40.1532
33 17.3384 40.9723
34 16.7528 39.4724

This model was created and trained by Kobrasoft

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Inference Examples
Inference API (serverless) does not yet support tensorflow models for this pipeline type.

Dataset used to train kobrasoft/kobraspeech-rnn-cs

Space using kobrasoft/kobraspeech-rnn-cs 1

Evaluation results