A host of new audio use cases is now possible and scalable. It wasn’t until the modern revolution of Machine Learning and advances in Deep Neural Networks (DNNs) that this domain was transformed, and algorithms could give rise to human-sounding synthetic speech. The first successful use case of Text To Speech synthesis occurred using a hulky room sized IBM computer at Bell Labs in the late 1960s when researchers recreated the song “ Daisy Bell,” but the audio quality remained an issue for decades. Using computers to synthesize speech isn’t new. After a fair amount of research/experimentation, only one proved fully open-source, extensible, and easy to integrate into applications. I came across a few open-source Text To Speech frameworks. Source: Youtube Fist Computer To Singe “Daisy Bell”
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