New – Long-Form voices for Amazon Polly | Amazon Web Services

We are launching three new voices for Polly. Powered by a new long-form engine, the voices are natural and expressive, with appropriate pauses, emphasis, and tone.

New Voices
The new long-form voices are perfect for blog posts, news articles, training videos, and marketing content. The underlying Machine Learning model extracts meaning from the text, learning about speech segments, prosody (the pattern of rhythm and pauses), intonation, and other aspects of expressive speech, allowing the synthesized audio to express emotions, especially in dialogs. The new long-form engine uses a deep learning text-to-speech (TTS) model trained to acquire a contextual understanding of the text that allows it to express prosody in an appropriate way. This allows the intention of the story to drive the vocal performance and create the correct emphasis, pauses, and tones of a realistic human voice.

Here are the new voices:

$ aws --region us-east-1 polly describe-voices --output json | jq -r '.Voices[] | select(.SupportedEngines | index("long-form")) | .Name'
Danielle
Gregory
Ruth

for v in `aws polly describe-voices --output json | jq -r '.Voices[] | select(.SupportedEngines | index("long-form")) | .Name'`; do Text="Hello my name is $v and I can read blog posts, articles, and other long-form content for you. I am the best!" aws polly synthesize-speech --output-format 'mp3' --text "$Text" --voice-id $v $v.mp3 --engine long-form; aws s3 cp $v.mp3 s3://jbarr-voices; done