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RIVA T5-TTS English-US

RIVA T5-TTS English-US

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Description
Riva NeMo-T5TTS IPA multisepaker model with Emotions
Publisher
NVIDIA
Latest Version
deployable_1.0
Modified
December 11, 2024
Size
306.16 MB

Speech Synthesis: English-US Multispeaker - T5TTS Model Overview

Description:

The T5-TTS model leverages an encoder-decoder transformer architecture for speech synthesis. The encoder processes text input, and the auto-regressive decoder takes a reference speech prompt from the target speaker. The auto-regressive decoder then generates speech tokens by attending to the encoder’s output through the transformer’s cross-attention heads. These cross-attention heads implicitly learn to align text and speech. However, their robustness can falter, especially when the input text contains repeated words.

References:

T5TTS Blog: https://developer.nvidia.com/blog/addressing-hallucinations-in-speech-synthesis-llms-with-the-nvidia-nemo-t5-tts-model

Model Architecture:

Architecture Type: Transformer + Generative Adversarial Network (GAN)

Network Architecture: T5TTS + AudioCodec

Input:

For T5TTS (1st Stage): Text Strings in English

Other Properties Related to Input: 400 Character Text String Limit

Output:

For AudioCodec (2nd Stage): Audio of shape (batch x time) in wav format

Other Parameters Related to Output: Mono, Encoded 16 bit audio; 20 Second Maximum Length; Depending on input, this model can output a female or a male voice for American English.

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

Inference:

Engine: Triton
Test Hardware:

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

Ethical Considerations:

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their supporting model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse. For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards. Please report security vulnerabilities or NVIDIA AI Concerns here.

License

By downloading and using the models and resources packaged with Riva Conversational AI, you accept the terms of the Riva license.