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  • Displaying 7 results
    NVIDIA
    NVIDIA
    STT Ru Quartznet15x5
    Speech To Text (STT) model based on QuartzNet for recognizing Russian speech.
    Model
    NVIDIA
    NVIDIA
    STT Ru Conformer-CTC Large
    Conformer-CTC-Large model for Russian Automatic Speech Recognition, trained on Mozilla Common Voice 10.0 (Russian), Golos (Russian), Russian LibriSpeech (RuLS) and SOVA (RuAudiobooksDevices, RuDevices) datasets.
    Model
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    Frame-VAD Multilingual MarbleNet
    Frame-based VAD model using MarbleNet model trained with real multilingual data and synthetic English data.
    Model
    NVIDIA
    NVIDIA
    STT Ru Conformer-Transducer Large
    Conformer-Transducer-Large model for Russian Automatic Speech Recognition, trained on Mozilla Common Voice 10.0 (Russian), Golos (Russian), Russian LibriSpeech (RuLS) and SOVA (RuAudiobooksDevices, RuDevices) datasets.
    Model
    NVIDIA
    NVIDIA
    NMT En Ru Transformer6x6
    Neural Machine Translation (NMT) model to translate from English to Russian
    Model
    NVIDIA
    NVIDIA
    NMT Ru En Transformer6x6
    Neural Machine Translation (NMT) model to translate from Russian to English
    Model
    NVIDIA
    NVIDIA
    Russian Tagger-based Inverse Text Normalization
    Russian single-pass tagger-based model for inverse text normalization based on BERT encoder, trained on 2 mln sentences from Google Text Normalization Dataset, achieves 3.55% WER on Google default test set
    Model

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