Text-to-speech (TTS) technology has seen rapid advances thanks to recent improvements in deep learning and generative modeling. Two models leading the pack are Bark and Tortoise TTS. Both leverage cutting-edge techniques like transformers and diffusion models to synthesize amazingly natural-sounding speech from text.

For engineers and founders building speech-enabled products, choosing the right TTS model is now a complex endeavor, given the capabilities of these new systems. While Bark and Tortoise have similar end goals, their underlying approaches differ significantly.

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