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Natural Number Reader, by Blink, is a method of programmatically reading aloud long strings of digits, taking into consideration chunking and natural voice intonation. Numbers read aloud using NNR are easier to understand and memorize, when compared to those synthesized by traditional systems.

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Natural Number Reader

Natural Number Reader, by Blink, is a method of programmatically reading aloud long strings of digits, taking into consideration chunking and natural voice intonation. Numbers read aloud using NNR are easier to understand and memorize, when compared to those synthesized by traditional systems.

This implemenation of the method uses JavaScript (with the p5js libraries) for the sake of maximum compatibility. The result is lightweight, easily embeddable on any web page, and works equally well on Mac, Microsoft Windows, Linux, Android, or iOS.

More at BlinkUX.com

To learn more about the Natural Number Reader, its origins, inner workings and methods, visit the following article on BlinkUX website: https://blinkux.com/ideas/natural-number-reader

Credits

Natural Numbers Reader is a Blink production.

Concept, algorithm, and Implementation: Quba Michalski

Additional programming: Eric Gomez

Visual design: Christen Dute

Illustrations: Caryn Arredondo

Voice talent: Stewart Maclennan

Blink's Chief Innovation Officer: Kelly Franznick

No Maintenance Intended

This is the initial, and only release of the algorithm. The code is completely open source, but will not be actively maintained.

No Maintenance Intended

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Natural Number Reader, by Blink, is a method of programmatically reading aloud long strings of digits, taking into consideration chunking and natural voice intonation. Numbers read aloud using NNR are easier to understand and memorize, when compared to those synthesized by traditional systems.

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