아마존 폴리

Overview of Amazon Polly

Amazon Polly uses deep learning models to synthesize natural-sounding human speech. This technology enables the conversion of text into spoken audio that can be used in various applications, from reading articles aloud to guiding users through interactive voice response systems.

Key Features of Amazon Polly

• Lifelike Voices : Amazon Polly provides dozens of voices across a broad set of languages, designed to sound natural and engaging.

• Customization Options : Users can customize and control speech output using lexicons and Speech Synthesis Markup Language (SSML) tags to adjust speaking style, speech rate, pitch, and loudness.

• Performance : Ensures quick delivery of voices and conversational user experiences with consistently fast response times.

• Audio Formats : Supports standard audio formats such as MP3 and OGG, allowing for easy storage and redistribution of speech output.

작동 방식

Amazon Polly uses deep learning models to synthesize natural-sounding human speech. This technology enables the conversion of text into spoken audio that can be used in various applications, from reading articles aloud to guiding users through interactive voice response systems.

사용 사례

Getting Started

• Free Tier : Amazon Polly offers a free tier which includes 5 million characters per month for the first 12 months, allowing developers to test and integrate the service without initial investment.

• Integration : Developers can integrate Polly into their applications via the AWS Management Console, SDKs, or directly through the API.

Customer Examples

• The Washington Post: Offers audio versions of articles to reach a broader audience.

• Trinity Audio: Implements text-to-speech players on websites to enhance user engagement.

• USA Today Network: Delivers breaking news in audio format, making content accessible on the go.

추가 리소스

Amazon Polly provides extensive documentation and support to help users understand and implement the service effectively. Resources include detailed guides on getting started, best practices for implementation, and technical support for advanced use cases.