tortoise-tts / README.md
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metadata
license: apache-2.0
language:
  - en
metrics:
  - wer
pipeline_tag: text-to-speech
tags:
  - text-to-speech
  - audio

Model Card for TorToiSe

Tortoise is a text-to-speech program built with the following priorities:

  1. Strong multi-voice capabilities.
  2. Highly realistic prosody and intonation.

Table of Contents

Model Details

Model Description

Tortoise is a text-to-speech program built with the following priorities:

  1. Strong multi-voice capabilities.
  2. Highly realistic prosody and intonation.
  • Developed by: James Betker
  • Model type: Language model
  • Language(s) (NLP): en
  • License: apache-2.0
  • Resources for more information:

Uses

Direct Use

Out-of-Scope Use

Bias, Risks, and Limitations

Recommendations

Training Details

Training Data

More information on training data needed

Training Procedure

Preprocessing

More information needed

Speeds, Sizes, Times

More information needed

Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Model Examination

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: More information needed
  • Hours used: More information needed
  • Cloud Provider: More information needed
  • Compute Region: More information needed
  • Carbon Emitted: More information needed

Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation

BibTeX:

Betker, J. (2022). TorToiSe text-to-speech (Version 2.0) [Computer software]. https://github.com/neonbjb/tortoise-tts

APA:

@software{Betker_TorToiSe_text-to-speech_2022, author = {Betker, James}, month = {4}, title = {{TorToiSe text-to-speech}}, url = {https://github.com/neonbjb/tortoise-tts}, version = {2.0}, year = {2022} }

Glossary [optional]

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More Information [optional]

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Model Card Authors [optional]

Gatozu35

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How to Get Started with the Model

Use the code below to get started with the model.

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