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#2271 Updated to a new model to avoid problems with model zoo and other test cases.
Neural HMM TTS (2021) is a parameter-efficient version and predecessor to OverFlow (28.6M vs 15.3M), it was the probabilistic spectrogram generation model which introduced neural HMMs into a TTS architecture in "Neural HMMs are all you need (for high-quality attention-free TTS)". Because of half the number of parameters the synthesis output quality is suboptimal (but comparable to Tacotron2 without Postnet) but it learns to speak with a lesser amount of data and is significantly faster than other attention-based methods.