Speech Synthesis: English-US T5TTS Model Overview

Description:

The NeMo Audio Codec model is a non-autoregressive convolutional encoder-quantizer-decoder model for coding or tokenization of raw audio signals or mel-spectrogram features. The NeMo Audio Codec model supports residual vector quantizer (RVQ) and finite scalar quantizer (FSQ) for quantization of the encoder output. This model is trained end-to-end using generative loss, discriminative loss, and reconstruction loss, similar to other neural audio codecs such as SoundStream and EnCodec.

Model Architecture:

Architecture Type: Convolutional encoder-quantizer-decoder model

Input:

Audio codes

Output:

Audio of shape (batch x time) in wav format

Software Integration:

Runtime Engine(s): Riva 2.18.0 or greater

Supported Hardware Platform(s):

NVIDIA Volta V100
NVIDIA Turing T4
NVIDIA A100 GPU
NVIDIA A30 GPU
NVIDIA A10 GPU
NVIDIA H100 GPU
NVIDIA L4 GPU
NVIDIA L40 GPU

Supported Operating System(s):

Linux

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\n\n**Supported Hardware Platform(s):**
\n* NVIDIA Volta V100
\n* NVIDIA Turing T4
\n* NVIDIA A100 GPU
\n* NVIDIA A30 GPU
\n* NVIDIA A10 GPU
\n* NVIDIA H100 GPU
\n* NVIDIA L4 GPU
\n* NVIDIA L40 GPU
\n\n\n**Supported Operating System(s):**
\n* Linux
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users logged in across NVIDIA domains.","api.ngc.nvidia.com","This cookie is managed by AWS and is used for load balancing.","bm_so","This cookie name is used to load the site as quickly as possible and to recognize bots using Akamai.","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. 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