AWS Machine Learning Blog

Category: Amazon Polly

Giving your content a voice with the Newscaster speaking style from Amazon Polly

Audio content consumption has grown exponentially in the past few years. Statista reports that podcast ad revenue will exceed a billion dollars in 2021. For the publishing industry and content providers, providing audio as an alternative option to reading could improve engagement with users and be an incremental revenue stream. Given the shift in customer […]

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Building a speech-to-text notification system in different languages with AWS Transcribe and an IoT device

Have you ever wished that people visiting your home could leave you a message if you’re not there? What if that solution could support your native language? Here is a straightforward and cost-effective solution that you can build yourself, and you only pay for what you use. This post demonstrates how to build a notification […]

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Amazon Polly launches a child US English NTTS voice

Amazon 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 […]

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Spanish Newscaster speaking style now available in Amazon Polly

Amazon Polly is launching its first non-English Newscaster speaking style voice, Lupe. This female US Spanish voice is the third Newscaster speaking style voice in Amazon Polly, following the launches of US English voices Matthew and Joanna. All Newscaster voices are made possible by the Neural Text-to-Speech (NTTS) technology of Amazon Polly. News content is […]

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Optimizing Japanese text-to-speech with Amazon Polly

Amazon Polly is a cloud service that offers text-to-speech (TTS), a system that converts text input into a waveform, in a range of 61 voices in 29 languages by using advanced deep learning technologies. The Amazon Polly service supports companies in developing digital products that use speech synthesis for a variety of use cases, including […]

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Converting your content to audio for free with Trinity Audio WordPress plugin

This is a guest post by Ron Jaworski, co-founder and CEO of Trinity Audio. In their own words, “Trinity Audio is an audio content solution platform that caters to publishers and content creators of all types and sizes worldwide, and helps them join the ongoing audio revolution by turning readers into listeners, creating the experience […]

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Build a unique Brand Voice with Amazon Polly

AWS is pleased to announce a new feature in Amazon Polly called Brand Voice, a capability in which you can work with the Amazon Polly team of AI research scientists and linguists to build an exclusive, high-quality, Neural Text-to-Speech (NTTS) voice that represents your brand’s persona. Brand Voice allows you to differentiate your brand by […]

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Standard Voices in Amazon Polly now available in Middle East and Asia Pacific Regions

Amazon Polly turns text into lifelike speech, which allows you to create voice-enabled applications. AWS is excited to announce the general availability of all standard voices in the Middle East (Bahrain) and Asia Pacific (Hong Kong) Regions. Customers in these Regions can now synthesize over 60 standard voices available in 29 languages in the Amazon […]

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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 […]

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Building an AR/AI vehicle manual using Amazon Sumerian and Amazon Lex

Auto manufacturers are continuously adding new controls, interfaces, and intelligence into their vehicles. They publish manuals detailing how to use these functions, but these handbooks are cumbersome. Because they consist of hundreds of pages in several languages, it can be difficult to search for relevant information about specific features. Attempts to replace paper-based manuals with […]

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