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  • Displaying 29 results
    NVIDIA
    NVIDIA
    Riva Speech Skills
    Riva Speech Skills Helm Chart
      Helm Chart
      NVIDIA Developer Program
      NVIDIA
      NVIDIA
      Studio Voice
      Studio Voice NIM leverages state-of-the-art AI models to enhance the input speech recorded through low quality microphones in noisy and reverberant environments to studio-recorded quality speech.
      Container
      NVIDIA
      NVIDIA
      Riva TTS English US Auxiliary Files
      Contains files used in rmir creation
        Model
        NVIDIA Developer Program
        NVIDIA
        NVIDIA
        Studio Voice
        Studio Voice NIM leverages state-of-the-art AI models to enhance the input speech recorded through low quality microphones in noisy and reverberant environments to studio-recorded quality speech.
        Container
        NVIDIA Developer Program
        NVIDIA
        NVIDIA
        Riva NIM
        Riva NIM Helm Chart
          Helm Chart
          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
          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
          NVIDIA
          Speech Synthesis English FastPitch
          Mel-Spectrogram prediction conditioned on input text with LJSpeech voice.
            Model
            NVIDIA
            NVIDIA
            Speech Synthesis HiFi-GAN
            GAN-based waveform generator from mel-spectrograms.
              Model
              NVIDIA Deep Learning Examples
              NVIDIA Deep Learning Examples
              QuartzNet checkpoint (PyTorch, AMP, LibriSpeech)
              QuartzNet PyTorch checkpoint trained on LibriSpeech (test-other 10.41% WER)
              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 Deep Learning Examples
                NVIDIA Deep Learning Examples
                Tacotron2 PyTorch checkpoint (AMP)
                Tacotron2 PyTorch checkpoint trained with AMP
                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
                  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
                    NVIDIA
                    QuartzNet15x5: WSJ, LibriSpeech & MCV
                    QuartzNet15x5 model trained on WSJ, LibriSpeech and Mozilla's Common Voice En with NeMo
                    Model
                    NVIDIA
                    NVIDIA
                    Speech Synthesis Waveglow
                    Universal waveform generator from mel-spectrograms.
                      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
                        NVIDIA
                        Speech Synthesis English FastPitch
                        Mel-Spectrogram prediction conditioned on input text with LJSpeech voice.
                        Model
                        NVIDIA Deep Learning Examples
                        NVIDIA Deep Learning Examples
                        Waveglow PyTorch checkpoint
                        Waveglow PyTorch checkpoint trained with AMP
                        Model
                        NVIDIA
                        NVIDIA
                        RIVA EnglishUS Fastpitch
                        FastPitch is a mel-spectrogram generator, designed to be used as the first part of a neural text-to-speech system in conjunction with a neural vocoder
                        Model
                        NVIDIA
                        NVIDIA
                        Speech Synthesis HiFi-GAN
                        GAN-based waveform generator from mel-spectrograms.
                        Model
                        NVIDIA
                        NVIDIA
                        RIVA EnglishUS Hifigan
                        HifiGAN is a neural vocoder model for text-to-speech applications. It is intended as the second part of a two-stage speech synthesis pipeline, with a mel-spectrogram generator such as FastPitch as the first stage.
                        Model
                        NVIDIA Deep Learning Examples
                        NVIDIA Deep Learning Examples
                        QuartzNet checkpoint (PyTorch, AMP, LibriSpeech)
                        QuartzNet PyTorch checkpoint trained on LibriSpeech (test-other 10.41% WER)
                          Model

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