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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 38 results
    NVIDIA
    Riva Speech Skills
    Riva Speech Skills is a scalable Conversational AI service platform.
    Container
    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
    Riva Skills Quick Start
    Scripts and utilities for getting started with Riva Speech Skills
    Resource
    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
    Chatterbox TTS Multilingual
    Chatterbox TTS Multilingual NIM Container
    Container
    NVIDIA
    Magpie TTS Zeroshot NIM
    Riva Magpie TTS Zeroshot NIM synthesizes natural sounding speech using voice features from reference speech sample.
    Container
    NVIDIA
    Riva TTS English US Auxiliary Files
    Contains files used in rmir creation
      Model
      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
      HiFi-GAN PyT checkpoint (22kHz, AMP)
      HiFi-GAN v1 PyTorch checkpoint trained on 8GPU with AMP on LJSpeech-1.1 (22kHz).
      Model
      NVIDIA
      nemo-speech.cpp
      A lightweight native C++ runtime for NVIDIA Nemotron Speech models built on ggml. Runs speech models in real time and batch mode across platforms and backends.
        Container
        NVIDIA
        WaveGlow
        WaveGlow is a flow-based network capable of generating high quality speech from mel-spectrograms.
        Model
        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
        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
        Tacotron2 LJSpeech
        Model checkpoints for the Tacotron 2 model trained with NeMo.
        Model
        NVIDIA
        Speech Synthesis English FastPitch
        Mel-Spectrogram prediction conditioned on input text with LJSpeech voice.
          Model
          NVIDIA
          Speech Synthesis HiFi-GAN
          GAN-based waveform generator from mel-spectrograms.
            Model
            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
            WaveGlow LJSpeech
            Model checkpoints for the WaveGlow model trained with NeMo.
            Model
            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
              RIVA Magpie-TTS Multilingual
              Riva NeMo-MagpieTTS Multilingual IPA multispeaker model with Emotions
              Model
              NVIDIA Deep Learning Examples
              Tacotron2 PyTorch checkpoint (AMP)
              Tacotron2 PyTorch checkpoint trained with AMP
              Model
              NVIDIA
              Flowtron
              Flowtron is an Autoregressive Flow-based Network for Text-to-Mel-spectrogram Synthesis.
              Model
              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
                FastPitch checkpoint (PyTorch, AMP, LJSpeech-1.1, 22050Hz)
                FastPitch PyTorch checkpoint trained on LJSpeech-1.1
                Model

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