Speech Studio
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Speech Studio offers a suite of tools designed to incorporate Azure Cognitive Services Speech capabilities into applications. It allows users to design projects without any coding, offering features such as live speech-to-text, tailored speech recognition models, pronunciation evaluation, voice gallery, custom voice creation, audio content generation, bespoke keywords, and personalized commands.
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Descript is an audio and video editing software offering transcription, screen recording, publishing, and AI features such as lifelike voice cloning with Overdub, free voice templates, privacy-centric options, the capacity to edit real recordings mid-sentence, create multiple voices, share with trusted collaborators, and access a premium stock voice library. It also delivers a 44.1KHz broadcast-quality speech synthesizer and live Overdubbing capabilities.
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Letterly is a mobile application driven by AI that transforms spoken words into organized text, providing different rewriting options and supporting several languages. It caters to professionals, authors, students, and anyone who favors speech over typing. The app allows users to save time, record thoughts on the move, produce refined content from spoken notes, and craft diverse writing forms more effectively. Equipped with offline recording, cross-device synchronization, and privacy safeguards, Letterly seeks to simplify the writing process and enhance user productivity.
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OpenAI.fm, introduced in 2025, is an interactive platform featuring OpenAI's cutting-edge text-to-speech technology. It enables users to transform text into highly customizable audio with an array of pre-configured voice characters and adaptable speaking styles. This tool is tailored for developers, content creators, businesses, and anyone keen on exploring AI-driven speech. OpenAI.fm could be the choice for those looking to swiftly prototype voice applications, craft personalized voice content, or produce natural-sounding voiceovers for diverse media projects, all without the need for extensive coding.