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  • Displaying 18 results
    Contains files used in rmir creation
    Model
    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
    WaveGlow model weights pre-trained on the LJ Speech dataset to be used with https://github.com/NVIDIA/waveglow.
    Model
    End to End workflow for text to speech training with TAO Toolkit and deployment using Riva.
    Resource
    Mel-Spectrogram prediction conditioned on input text with LJSpeech voice.
    Model
    GAN-based waveform generator from mel-spectrograms.
    Model
    HiFi-GAN for PyTorch
    NVIDIA Deep Learning Examples
    HiFi-GAN model implements a spectrogram inversion model that allows to synthesize speech waveforms from mel-spectrograms.
    Resource
    Tacotron2 PyTorch checkpoint (AMP)
    NVIDIA Deep Learning Examples
    Tacotron2 PyTorch checkpoint trained with AMP
    Model
    Tacotron2 and Waveglow 2.0 for PyTorch
    NVIDIA Deep Learning Examples
    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
    Universal waveform generator from mel-spectrograms.
    Model
    Mel-Spectrogram prediction conditioned on input text with LJSpeech voice.
    Model
    FastPitch 1.0 for PyTorch
    NVIDIA Deep Learning Examples
    The FastPitch model generates mel-spectrograms from raw input text and allows to exert additional control over the synthesized utterances.
    Resource
    Waveglow PyTorch checkpoint
    NVIDIA Deep Learning Examples
    Waveglow PyTorch checkpoint trained with AMP
    Model
    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
    GAN-based waveform generator from mel-spectrograms.
    Model
    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
    This collection contains NeMo models for Text to Speech (TTS)
    Collection
    A collection of easy to use, highly optimized Deep Learning Models for Speech Synthesis. Deep Learning Examples provides Data Scientist and Software Engineers with recipes to Train, fine-tune, and deploy State-of-the-Art Models
    Collection

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