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NVIDIA AI Enterprise
NVIDIA AI Enterprise
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  • Displaying 15 results
    This collection contains two models. 1) Multi-speaker 44100Hz FastPitch trained on approximately 20 hours of Latin American Spanish speech from 174 speakers. 2) HiFiGAN trained on mel spectrograms produced by the Multi-speaker FastPitch in (1).
    Model
    The large version (114M) of the Multilingual speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 2560 and emits text with punctuation and capitalization.
    Model
    Spanish Conformer ASR model trained on ASR set 3.0
    Model
    Spanish Citrinet ASR model trained on ASR set 2.0
      Model
      Spanish EMEA Conformer ASR model trained on RIVA ASR set
      Model
      English / Spanish / French / German speech recognition model with a FastConformer large (114M) encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 2560 and emits text with punctuation and capitalization.
      Model
      This collection contains the large version (114M) of the Spanish speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 1024 and emits text with punctuation and capitalization.
      Model
      Spanish LATAM Citrinet ASR model trained on RIVA ASR set
      Model
      Base Spanish 4-gram LM
        Model
        Spanish EMEA Citrinet ASR model trained on RIVA ASR set
        Model
        Base Spanish LATAM n-gram LM
        Model
        For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks) and 2) predicts if the word should be capitalized or not.
        Model
        For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks) and 2) predicts if the word should be capitalized or not.
          Model
          A text classification model to classify documents into one of 26 domain classes across 52 languages.
          Model
          Base Spanish EMEA n-gram LM
          Model

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