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Displaying 36 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
NVIDIA
Riva TTS English US Auxiliary Files
Contains files used in rmir creation
Model
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
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
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 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
WaveGlow LJSpeech
Model checkpoints for the WaveGlow model trained with NeMo.
Model
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
NVIDIA
NVIDIA
Speech Synthesis Waveglow
Universal waveform generator from mel-spectrograms.
Model
—
Mel Codec 22kHz fullband medium
22.05kHz full-band Mel Codec model trained on multi-lingual speech.
Model

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