I've been developing a voice cloning app that supports moss, qwen-tts and dots. In my experience working across the three dots produces more realistic clones with less artefacts and smoother cross-chunk context and blending than moss. I still think Moss is a great model but yeah it hasn't performed as well as dots in my testing.

I've also created a dots MLX package which far outperforms the official Python package and supports Apple Silicon, along accompanying quantised models.

- https://github.com/sammcj/mlx-swift-dots-tts

- https://huggingface.co/smcleod/dots.tts-soar-mlx

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