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Displaying 7 results

STT Ru Quartznet15x5
NVIDIA
Speech To Text (STT) model based on QuartzNet for recognizing Russian speech.
Model
STT Ru Conformer-CTC Large
NVIDIA
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
Frame-VAD Multilingual MarbleNet
—
Frame-based VAD model using MarbleNet model trained with real multilingual data and synthetic English data.
Model
STT Ru Conformer-Transducer Large
NVIDIA
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
NMT En Ru Transformer6x6
NVIDIA
Neural Machine Translation (NMT) model to translate from English to Russian
Model
NMT Ru En Transformer6x6
NVIDIA
Neural Machine Translation (NMT) model to translate from Russian to English
Model
Russian Tagger-based Inverse Text Normalization
NVIDIA
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
1-7 of 7 items

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