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  • SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
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  • Displaying 26 results
    NVIDIA
    NVIDIA
    Riva Speech Skills
    Riva Speech Skills is a scalable Conversational AI service platform.
    Container
    NVIDIA AI Enterprise
    NVIDIA
    NVIDIA
    Riva TTS NIM
    RIVA TTS NIM provide easy access to state-of-the-art text to speech models, capable of synthesizing English speech from text
    Container
    NVIDIA
    NVIDIA
    Riva Skills Quick Start
    Scripts and utilities for getting started with Riva Speech Skills
    Resource
    NVIDIA Developer Program
    NVIDIA
    NVIDIA
    TTS FastPitch HifiGAN Riva
    RIVA TTS NIM provide easy access to state-of-the-art text to speech models, capable of synthesizing English speech from text
    Container
    NVIDIA Developer Program
    Nvidia
    Nvidia
    Chatterbox TTS Multilingual
    Chatterbox TTS Multilingual NIM Container
    Container
    NVIDIA
    NVIDIA
    WaveGlow LJS 256 Channels
    WaveGlow model weights pre-trained on the LJ Speech dataset to be used with https://github.com/NVIDIA/waveglow.
    Model
    NVIDIA Deep Learning Examples
    NVIDIA Deep Learning Examples
    HiFi-GAN PyT checkpoint (22kHz, AMP)
    HiFi-GAN v1 PyTorch checkpoint trained on 8GPU with AMP on LJSpeech-1.1 (22kHz).
    Model
    NVIDIA
    NVIDIA
    WaveGlow
    WaveGlow is a flow-based network capable of generating high quality speech from mel-spectrograms.
    Model
    NVIDIA
    NVIDIA
    Text to Speech Notebook
    End to End workflow for text to speech training with TAO Toolkit and deployment using Riva.
    Resource
    NVIDIA Deep Learning Examples
    NVIDIA Deep Learning Examples
    HiFi-GAN PyT checkpoint (FastPitch ftune, 22kHz, AMP)
    HiFi-GAN v1 PyTorch checkpoint trained on 8GPU with AMP on LJSpeech-1.1 (22kHz), fine-tuned on FastPitch outputs.
    Model
    NVIDIA
    NVIDIA
    Tacotron2 LJSpeech
    Model checkpoints for the Tacotron 2 model trained with NeMo.
    Model
    NVIDIA
    NVIDIA
    Audio Codec 16kHz Small
    This model card contains a Small Audio Codec model trained on the Libri-Light audiobook recordings dataset, comprising approximately 60,000 hours of English language speech with a 16kHz sampling rate.
    Model
    NVIDIA
    NVIDIA
    WaveGlow LJSpeech
    Model checkpoints for the WaveGlow model trained with NeMo.
    Model
    NVIDIA Deep Learning Examples
    NVIDIA Deep Learning Examples
    HiFi-GAN for PyTorch
    HiFi-GAN model implements a spectrogram inversion model that allows to synthesize speech waveforms from mel-spectrograms.
      Resource
      NVIDIA
      NVIDIA
      RIVA Magpie-TTS Multilingual
      Riva NeMo-MagpieTTS Multilingual IPA multispeaker model with Emotions
      Model
      NVIDIA Deep Learning Examples
      NVIDIA Deep Learning Examples
      Tacotron2 PyTorch checkpoint (AMP)
      Tacotron2 PyTorch checkpoint trained with AMP
      Model
      NVIDIA
      NVIDIA
      Flowtron
      Flowtron is an Autoregressive Flow-based Network for Text-to-Mel-spectrogram Synthesis.
      Model
      NVIDIA Deep Learning Examples
      NVIDIA Deep Learning Examples
      Tacotron2 and Waveglow 2.0 for PyTorch
      The Tacotron 2 and WaveGlow model form a text-to-speech system that enables user to synthesise a natural sounding speech from raw transcripts.
        Resource
        NVIDIA Deep Learning Examples
        NVIDIA Deep Learning Examples
        FastPitch checkpoint (PyTorch, AMP, LJSpeech-1.1, 22050Hz)
        FastPitch PyTorch checkpoint trained on LJSpeech-1.1
        Model
        —
        Mel Codec 22kHz fullband medium
        22.05kHz full-band Mel Codec model trained on multi-lingual speech.
        Model
        —
        OpenVoice
        A collection of models to enable OpenVoice support for the NVIDIA In-Game Inferencing (NVIGI) SDK.
        Model
        NVIDIA Deep Learning Examples
        NVIDIA Deep Learning Examples
        FastPitch 1.0 for PyTorch
        The FastPitch model generates mel-spectrograms from raw input text and allows to exert additional control over the synthesized utterances.
          Resource
          NVIDIA Deep Learning Examples
          NVIDIA Deep Learning Examples
          Waveglow PyTorch checkpoint
          Waveglow PyTorch checkpoint trained with AMP
          Model
          NVIDIA
          NVIDIA
          Mel Codec 44kHz medium
          44.1kHz multi-band Mel Codec model trained on multi-lingual speech.
          Model

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