
# Model Card for TorToiSe

<!-- Provide a quick summary of what the model is/does. [Optional] -->
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 Card for TorToiSe](#model-card-for--model_id-)
- [Table of Contents](#table-of-contents)
- [Table of Contents](#table-of-contents-1)
- [Model Details](#model-details)
  - [Model Description](#model-description)
- [Uses](#uses)
  - [Direct Use](#direct-use)
  - [Out-of-Scope Use](#out-of-scope-use)
- [Bias, Risks, and Limitations](#bias-risks-and-limitations)
  - [Recommendations](#recommendations)
- [Training Details](#training-details)
  - [Training Data](#training-data)
  - [Training Procedure](#training-procedure)
    - [Preprocessing](#preprocessing)
    - [Speeds, Sizes, Times](#speeds-sizes-times)
- [Evaluation](#evaluation)
  - [Testing Data, Factors & Metrics](#testing-data-factors--metrics)
    - [Testing Data](#testing-data)
    - [Factors](#factors)
    - [Metrics](#metrics)
  - [Results](#results)
- [Model Examination](#model-examination)
- [Environmental Impact](#environmental-impact)
  - [Model Architecture and Objective](#model-architecture-and-objective)
  - [Compute Infrastructure](#compute-infrastructure)
    - [Hardware](#hardware)
    - [Software](#software)
- [Citation](#citation)
- [Model Card Contact](#model-card-contact)
- [How to Get Started with the Model](#how-to-get-started-with-the-model)


# Model Details

## Model Description

<!-- Provide a longer summary of what this model is/does. -->
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:**
    - [GitHub Repo](https://github.com/152334H/tortoise-tts-fast)


# Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->

## Direct Use

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
<!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." -->



## Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
<!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." -->




# Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->



## Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->



# Training Details

## Training Data

<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->

More information on training data needed


## Training Procedure

<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->

### Preprocessing

More information needed

### Speeds, Sizes, Times

<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->

More information needed
 
# Evaluation

<!-- This section describes the evaluation protocols and provides the results. -->

## Testing Data, Factors & Metrics

### Testing Data

<!-- This should link to a Data Card if possible. -->

More information needed


### Factors

<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->

More information needed

### Metrics

<!-- These are the evaluation metrics being used, ideally with a description of why. -->

More information needed

## Results 

More information needed

# Model Examination

More information needed

# Environmental Impact

<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->

Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

- **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

More information needed

## Compute Infrastructure

More information needed

### Hardware

More information needed

### Software

More information needed

# Citation

<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->

**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]

<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->

More information needed

# More Information [optional]

More information needed

# Model Card Authors [optional]

<!-- This section provides another layer of transparency and accountability. Whose views is this model card representing? How many voices were included in its construction? Etc. -->

Gatozu35

# Model Card Contact

Use the discussion tab

# How to Get Started with the Model

Use the code below to get started with the model.

<details>
<summary> Click to expand </summary>

More information needed

</details>
{"language": ["en"], "license": "apache-2.0", "tags": ["text-to-speech", "audio"], "metrics": ["wer"], "pipeline_tag": "text-to-speech"}
transformers pytorch safetensors gpt2 text-to-speech audio en arxiv:1910.09700 license:apache-2.0 endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #safetensors #gpt2 #text-to-speech #audio #en #arxiv-1910.09700 #license-apache-2.0 #endpoints_compatible #has_space #text-generation-inference #region-us 


# 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 Card for TorToiSe
- Table of Contents
- Table of Contents
- Model Details
  - Model Description
- Uses
  - Direct Use
  - Out-of-Scope Use
- Bias, Risks, and Limitations
  - Recommendations
- Training Details
  - Training Data
  - Training Procedure
    - Preprocessing
    - Speeds, Sizes, Times
- Evaluation
  - Testing Data, Factors & Metrics
    - Testing Data
    - Factors
    - Metrics
  - Results
- Model Examination
- Environmental Impact
  - Model Architecture and Objective
  - Compute Infrastructure
    - Hardware
    - Software
- Citation
- Model Card Contact
- How to Get Started with the Model


# 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:
    - GitHub Repo


# 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



More information needed


### Factors



More information needed

### Metrics



More information needed

## Results 

More information needed

# Model Examination

More information needed

# 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

More information needed

## Compute Infrastructure

More information needed

### Hardware

More information needed

### Software

More information needed

BibTeX:

Betker, J. (2022). TorToiSe text-to-speech (Version 2.0) [Computer software]. URL

APA:

@software{Betker_TorToiSe_text-to-speech_2022,
author = {Betker, James},
month = {4},
title = {{TorToiSe text-to-speech}},
url = {URL
version = {2.0},
year = {2022}
}

# Glossary [optional]



More information needed

# More Information [optional]

More information needed

# Model Card Authors [optional]



Gatozu35

# Model Card Contact

Use the discussion tab

# How to Get Started with the Model

Use the code below to get started with the model.

<details>
<summary> Click to expand </summary>

More information needed

</details>
# 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 Card for TorToiSe
- Table of Contents
- Table of Contents
- Model Details
  - Model Description
- Uses
  - Direct Use
  - Out-of-Scope Use
- Bias, Risks, and Limitations
  - Recommendations
- Training Details
  - Training Data
  - Training Procedure
    - Preprocessing
    - Speeds, Sizes, Times
- Evaluation
  - Testing Data, Factors & Metrics
    - Testing Data
    - Factors
    - Metrics
  - Results
- Model Examination
- Environmental Impact
  - Model Architecture and Objective
  - Compute Infrastructure
    - Hardware
    - Software
- Citation
- Model Card Contact
- How to Get Started with the Model # 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:
    - GitHub Repo # 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



More information needed ### Factors



More information needed ### Metrics



More information needed ## Results 

More information needed # Model Examination

More information needed # 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

More information needed ## Compute Infrastructure

More information needed ### Hardware

More information needed ### Software

More information needed

BibTeX:

Betker, J. (2022). TorToiSe text-to-speech (Version 2.0) [Computer software]. URL

APA:

@software{Betker_TorToiSe_text-to-speech_2022,
author = {Betker, James},
month = {4},
title = {{TorToiSe text-to-speech}},
url = {URL
version = {2.0},
year = {2022}
} # Glossary [optional]



More information needed # More Information [optional]

More information needed # Model Card Authors [optional]



Gatozu35 # Model Card Contact

Use the discussion tab # How to Get Started with the Model

Use the code below to get started with the model.

<details>
<summary> Click to expand </summary>

More information needed

</details>
TAGS
#transformers #pytorch #safetensors #gpt2 #text-to-speech #audio #en #arxiv-1910.09700 #license-apache-2.0 #endpoints_compatible #has_space #text-generation-inference #region-us 
 # 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 Card for TorToiSe
- Table of Contents
- Table of Contents
- Model Details
  - Model Description
- Uses
  - Direct Use
  - Out-of-Scope Use
- Bias, Risks, and Limitations
  - Recommendations
- Training Details
  - Training Data
  - Training Procedure
    - Preprocessing
    - Speeds, Sizes, Times
- Evaluation
  - Testing Data, Factors & Metrics
    - Testing Data
    - Factors
    - Metrics
  - Results
- Model Examination
- Environmental Impact
  - Model Architecture and Objective
  - Compute Infrastructure
    - Hardware
    - Software
- Citation
- Model Card Contact
- How to Get Started with the Model # 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:
    - GitHub Repo # 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



More information needed ### Factors



More information needed ### Metrics



More information needed ## Results 

More information needed # Model Examination

More information needed # 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

More information needed ## Compute Infrastructure

More information needed ### Hardware

More information needed ### Software

More information needed

BibTeX:

Betker, J. (2022). TorToiSe text-to-speech (Version 2.0) [Computer software]. URL

APA:

@software{Betker_TorToiSe_text-to-speech_2022,
author = {Betker, James},
month = {4},
title = {{TorToiSe text-to-speech}},
url = {URL
version = {2.0},
year = {2022}
} # Glossary [optional]



More information needed # More Information [optional]

More information needed # Model Card Authors [optional]



Gatozu35 # Model Card Contact

Use the discussion tab # How to Get Started with the Model

Use the code below to get started with the model.

<details>
<summary> Click to expand </summary>

More information needed

</details>
TAGS
#transformers #pytorch #safetensors #gpt2 #text-to-speech #audio #en #arxiv-1910.09700 #license-apache-2.0 #endpoints_compatible #has_space #text-generation-inference #region-us 
# 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 Card for TorToiSe
- Table of Contents
- Table of Contents
- Model Details
  - Model Description
- Uses
  - Direct Use
  - Out-of-Scope Use
- Bias, Risks, and Limitations
  - Recommendations
- Training Details
  - Training Data
  - Training Procedure
    - Preprocessing
    - Speeds, Sizes, Times
- Evaluation
  - Testing Data, Factors & Metrics
    - Testing Data
    - Factors
    - Metrics
  - Results
- Model Examination
- Environmental Impact
  - Model Architecture and Objective
  - Compute Infrastructure
    - Hardware
    - Software
- Citation
- Model Card Contact
- How to Get Started with the Model# 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:
    - GitHub Repo# 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



More information needed### Factors



More information needed### Metrics



More information needed## Results 

More information needed# Model Examination

More information needed# 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

More information needed## Compute Infrastructure

More information needed### Hardware

More information needed### Software

More information needed

BibTeX:

Betker, J. (2022). TorToiSe text-to-speech (Version 2.0) [Computer software]. URL

APA:

@software{Betker_TorToiSe_text-to-speech_2022,
author = {Betker, James},
month = {4},
title = {{TorToiSe text-to-speech}},
url = {URL
version = {2.0},
year = {2022}
}# Glossary [optional]



More information needed# More Information [optional]

More information needed# Model Card Authors [optional]



Gatozu35# Model Card Contact

Use the discussion tab# How to Get Started with the Model

Use the code below to get started with the model.

<details>
<summary> Click to expand </summary>

More information needed

</details>