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Displaying 27 results

Riva Speech Skills
NVIDIA
Riva Speech Skills is a scalable Conversational AI service platform.
Container
Riva TTS NIM
NVIDIA
RIVA TTS NIM provide easy access to state-of-the-art text to speech models, capable of synthesizing English speech from text
Container
Riva Skills Quick Start
NVIDIA
Scripts and utilities for getting started with Riva Speech Skills
Resource
TTS FastPitch HifiGAN Riva
NVIDIA
RIVA TTS NIM provide easy access to state-of-the-art text to speech models, capable of synthesizing English speech from text
Container
Chatterbox TTS Multilingual
Nvidia
Chatterbox TTS Multilingual NIM Container
Container
Magpie TTS Zeroshot NIM
NVIDIA
Riva Magpie TTS Zeroshot NIM synthesizes natural sounding speech using voice features from reference speech sample.
Container
WaveGlow LJS 256 Channels
NVIDIA
WaveGlow model weights pre-trained on the LJ Speech dataset to be used with https://github.com/NVIDIA/waveglow.
Model
HiFi-GAN PyT checkpoint (22kHz, AMP)
NVIDIA Deep Learning Examples
HiFi-GAN v1 PyTorch checkpoint trained on 8GPU with AMP on LJSpeech-1.1 (22kHz).
Model
WaveGlow
NVIDIA
WaveGlow is a flow-based network capable of generating high quality speech from mel-spectrograms.
Model
Text to Speech Notebook
NVIDIA
End to End workflow for text to speech training with TAO Toolkit and deployment using Riva.
Resource
HiFi-GAN PyT checkpoint (FastPitch ftune, 22kHz, AMP)
NVIDIA Deep Learning Examples
HiFi-GAN v1 PyTorch checkpoint trained on 8GPU with AMP on LJSpeech-1.1 (22kHz), fine-tuned on FastPitch outputs.
Model
Tacotron2 LJSpeech
NVIDIA
Model checkpoints for the Tacotron 2 model trained with NeMo.
Model
WaveGlow LJSpeech
NVIDIA
Model checkpoints for the WaveGlow model trained with NeMo.
Model
Audio Codec 16kHz Small
NVIDIA
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
RIVA Magpie-TTS Multilingual
NVIDIA
Riva NeMo-MagpieTTS Multilingual IPA multispeaker model with Emotions
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
Flowtron
NVIDIA
Flowtron is an Autoregressive Flow-based Network for Text-to-Mel-spectrogram Synthesis.
Model
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
FastPitch checkpoint (PyTorch, AMP, LJSpeech-1.1, 22050Hz)
NVIDIA Deep Learning Examples
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
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
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