metadata

datasets:
  - mozilla-foundation/common_voice_17_0
language: cs
library_name: tensorflow
license: cc-by-nc-sa-4.0
metrics:
  - wer
  - val_loss
pipeline_tag: automatic-speech-recognition
tags:
  - automatic-speech-recognition
  - speech
  - Tensorflow
  - Keras
  - RNN
model-index:
  - name: KobraSpeech RNN Czech
    results:
      - task:
          type: speech-to-text
        dataset:
          name: mozilla-foundation/common_voice_17_0
          type: common_voice
          split: test
        metrics:
          - type: wer
            value: '0.6982'

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