An open-source text-to-speech engine utilizing deep learning technology, Verbify-TTS converts text into human-like speech with expressive and natural sounding voices.
Verbify-TTS is an open-source neural text-to-speech engine capable of generating human-like speech from text. Developed by Verbify Labs, it utilizes state-of-the-art deep learning techniques such as Tacotron 2 and WaveRNN to synthesize natural sounding voices that adapt to the input text.
Key features of Verbify-TTS include:
Verbify-TTS can be used to add text-to-speech capabilities to applications and systems such as screen readers, announcements systems, conversational agents, audiobook narration software and more. Its high-quality voices minimize listener fatigue making it well-suited for generating speech for extended durations.
Being open-source allows Verbify-TTS to be customized and extended easily. Developers can fine-tune the neural vocoder to achieve special voice effects or train new TTS models on custom voice data. An MIT license makes integration straightforward into commercial applications.
Overall, Verbify-TTS provides a flexible, lightweight and state-of-the-art text-to-speech system for generating human-like synthetic voices for a wide range of usage scenarios.
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