Spellar

Speakable is an AI-driven language-learning platform designed for instructors to assign, monitor, and grade speaking, writing, and comprehension tasks in more than 100 languages. It enables teachers to create custom activities, such as repeat-after-me speaking drills, open-response prompts, and multimedia cards, then delivers instant AI feedback on student submissions, including pronunciation, grammar, number/gender agreement, and suggested improvements. The tool organizes student responses into portfolios so educators can track growth over time, view proficiency estimates, and access analytics that show how learners are improving. It integrates with common educational ecosystems, such as Google Classroom, Canvas, and Schoology, and supports rostering via platforms like Clever. Built with educators in mind, the interface includes a shared activity library, a team workspace for curriculum collaboration, and compliance-ready data privacy features for K-12 usage.

Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build entirely new categories of speech-enabled products. Polly's Text-to-Speech (TTS) service uses advanced deep learning technologies to synthesize natural sounding human speech. With dozens of lifelike voices across a broad set of languages, you can build speech-enabled applications that work in many different countries. In addition to Standard TTS voices, Amazon Polly offers Neural Text-to-Speech (NTTS) voices that deliver advanced improvements in speech quality through a new machine learning approach. Polly’s Neural TTS technology also supports two speaking styles that allow you to better match the delivery style of the speaker to the application: a Newscaster reading style that is tailored to news narration use cases, and a Conversational speaking style that is ideal for two-way communication like telephony applications.