AWS Machine Learning Blog
HAQM Polly launches a child US English NTTS voice
HAQM Polly turns text into lifelike speech, allowing you to create voice-enabled applications. We’re excited to announce the general availability of a new US English child voice—Kevin. Kevin’s voice was developed using the latest Neural Text-to-Speech (NTTS) technology, making it sound natural and human-like. This voice imitates the voice of a male child. Have a listen to the Kevin voice:
Kevin sample 1
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Listen now Voiced by HAQM Polly |
Kevin sample 2
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Listen now Voiced by HAQM Polly |
HAQM Polly has 14 neural voices to choose from:
- US English (en-US): Ivy, Joey, Justin, Kendra, Kevin, Kimberly, Joanna, Matthew, Salli
- British English (en-GB): Amy, Brian, Emma
- Brazilian Portuguese (pt-BR): Camila
- US Spanish (es-US): Lupe
Neural voices are supported in the following Regions:
- US East (N. Virginia)
- US West (Oregon)
- Asia Pacific (Sydney)
- EU (Ireland)
For the full list of text-to-speech voices, see Voices in HAQM Polly.
Our customers are using HAQM Polly voices to build new categories of speech-enabled products, including (but not limited to) voicing news content, games, eLearning platforms, telephony applications, accessibility applications, and Internet of Things (IoT). HAQM Polly voices are high quality, cost-effective, and ensure fast responses, which makes it a viable option for low-latency use cases. HAQM Polly also supports SSML tags, which give you additional control over speech output.
For more information, see What Is HAQM Polly? and log in to the HAQM Polly console to try it out!
About the Author
Ankit Dhawan is a Senior Product Manager for HAQM Polly, technology enthusiast, and 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, and loves reading biographies and playing poker. You can indulge him in a conversation on technology, entrepreneurship, or soccer any time of the day.