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Amazon Polly Neural Text-to-Speech voices now available in Sydney Region

Amazon Polly turns text into lifelike speech for voice-enabled applications. AWS is excited to announce the general availability of all Neural Text-to-Speech (NTTS) voices in the Asia Pacific (Sydney) Region. These voices deliver groundbreaking improvements in speech quality through a new machine learning approach. If you are in the Sydney Region, you can now synthesize 13 NTTS voices (eight US English, three UK English, one US Spanish, and one Brazilian Portuguese) available in the Amazon Polly portfolio.

In addition, Amazon Polly’s two speaking style voices are available in US English (Matthew and Joanna). Newscaster simulates the tone of a news anchor, and Conversational simulates the tone of a friendly conversation. Both are built using the same NTTS technology.

Listen to samples of both speaking styles:


Listen now

Voiced by Amazon Polly


Listen now

Voiced by Amazon Polly

The entire Amazon Polly portfolio of 60+ voices (Neural and Standard) across 29 languages is now available in the Asia Pacific (Sydney) region. Visit the Amazon Polly documentation for the full list of text-to-speech voices, and log in to the Amazon Polly console to try them out! Simply set the ‘engine‘ parameter to ‘neural‘, and select one of the 4 AWS regions that support NTTS voices.

About the Author

Ankit Dhawan is a Senior Product Manager for Amazon Polly, a technology enthusiast, and a huge Liverpool FC fan. When not working on delighting our customers, you will find him exploring the Pacific Northwest with his wife and dog. He is an eternal optimist, loves reading biographies, and playing poker. You can indulge him in a conversation on technology, entrepreneurship, or soccer anytime of the day.





Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.