AWS Machine Learning Blog

Category: HAQM Polly

Create video subtitles with translation using machine learning

Businesses from around the globe require fast and reliable ways to transcribe an audio or video file, and often in multiple languages.  This audio and video content can range from a news broadcast, call center phone interactions, a job interview, a product demonstration, or even court proceedings.  The traditional process for transcription is both expensive […]

Twilio offers greater voice selection to customers with HAQM Polly integration

By providing a scalable cloud platform for building communications experiences, Twilio enables developers and businesses to build any customer engagement into their applications using simple and powerful APIs for voice, messaging, and video. Businesses like Morgan Stanley, Marks & Spencer, Netflix, Lyft, Airbnb, and more than 50,000 others are modernizing the way they communicate with […]

HAQM Polly adds bilingual Indian English/Hindi language support

HAQM Polly is an AWS service that turns text into lifelike speech. We’re excited to announce new Hindi language support and the release of our first bilingual voice. Aditi is a female voice that speaks Hindi and Indian English fluently. Let’s hear Aditi introduce herself in both Indian English and Hindi. Listen to the Hindi […]

Use HAQM Translate to create multilingual content on WordPress sites

At the beginning of this year, we launched an HAQM Polly plugin for WordPress with the help of our partner, WP Engine. This plugin enabled creators/bloggers who publish their posts or sites using WordPress to easily add Text-to-Speech capabilities and convert their web content into high-quality audio formats. Since then, we’ve improved the plugin by […]

Building your personal translator with HAQM Translate and HAQM Polly

The most common challenge we can face when traveling abroad is the language barrier. Whether lost or not, we’ll have to say at least one of these: “Where is the best place to eat and drink?”, “Where is this hotel?”, and “Where is the bathroom?” Now imagine a more difficult scenario: We’re traveling to Spain […]

New Developer Preview: Use HAQM Polly voices in Alexa skills

HAQM Polly is a service that turns text into lifelike speech. Using HAQM Polly you can create applications that talk and build entirely new categories of speech-enabled products. Starting today, you can apply to participate in a developer preview that allows you to use eight English (U.S.) HAQM Polly voices to narrate your Alexa skills.

If your skill uses only a single voice today, you can try changing the voice or adding different voices in the right places to provide an even more engaging experience. Developers in the preview can select a different voice for any utterance by constructing output speech using the Structured Speech Markup Language (SSML) and specifying an HAQM Polly voice using the voice tag for free in Alexa skills. Note that SSML tags that are only available through the HAQM Polly service and not through Alexa skills will not be available when you use this new capability.

Build smart chat apps with HAQM machine learning APIs and the PubNub ChatEngine

The demand for chat apps is growing wildly. From social apps to business collaboration, in-game chat to customer support, every app needs chat. Chat apps like Telegram are making mainstream news and generating widespread interest.

Historically, building a scalable, feature-rich chat app was surprisingly difficult. Not anymore. PubNub ChatEngine has integrated HAQM machine learning APIs, which makes building intelligent, scalable chat apps super easy for mobile and web.

In this blog post, you’ll learn how to spin up the PubNub ChatEngine and add HAQM Translate and HAQM Polly for cross-lingual, speech-enabled chat apps that you can embed anywhere.