Joe 1.0

English (en)

This dataset contains approximately 1 hour of scripted speech for English (en) from a single speaker.

Language

English is a West Germanic language that is spoken throughout the world.

Variants

There are no variants defined for this dataset.

Demographic information

The age and gender of the speaker was not reported. Dataset names may be gendered, but were assigned according to the speaker's preference only.

Text corpus

The text corpus comes from Piper Recording Studio, which extends Microsoft's samples TTS scripts for Azure.

Microsoft provides the following recommendations:

To use these example scripts for training, it's recommended that you should do the sanity check to make sure it matches what the voice talent actually speaks in the audio and normalize the text before uploading the data. For example, change '50%' to fifty percent and '$45' to forty-five dollars. Normalization should apply to the scripts that contain digits, symbols, abbreviations, date, and time.

Statistics for the text corpus:

• Average/median characters per sentence: 49/41

• Average/median words per sentence: 9/8

Writing system

English uses a standard Latin alphabet.

Symbol table

Standard alphabet:

• Lowercase: a b c d e f g h i j k l m n o p q r s t u v w x y z é

• Uppercase: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Sample

5 randomly selected sentences:

May I connect your call to them?
We all have our own methods of dealing with money, but here are a couple of saving tricks that will grow your money.
Would you like me to show you some different products?
The Park has been a global leader in establishing the range of possibilities and approaches to caring for wild animals and landscapes.
But tonight, a car stopped at his house, and a policeman helped him get out.

Processing and validation

Audio was recorded online using Piper Recording Studio. No post-processing or validation was done to the text or audio.

Trained models

A pre-trained Piper voice model is available for download.

Contribute

If you would like to contribute your voice and have us train a Piper text-to-speech model, please contact us at voice@openhomefoundation.org

Acknowledgements

We would like to thank all contributors, as well as supporters of the Open Home Foundation.

License

This dataset is released under the Creative Commons Zero (CC-0) license. By downloading this data you agree to not determine the identity of speakers in the dataset.