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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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