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Integrates HumeAI's TADA (Text-Acoustic Dual Alignment) speech-language model as a new TTS engine. TADA uses a novel 1:1 token-audio alignment that produces coherent speech over long sequences (700s+). Two model variants: - tada-1b: English-only, ~4GB, built on Llama 3.2 1B - tada-3b-ml: 10 languages, ~8GB, built on Llama 3.2 3B Backend uses the Encoder for voice prompt encoding with caching, and TadaForCausalLM with flow-matching diffusion for generation. Supports bf16 inference on CUDA, forces CPU on macOS (MPS compatibility). Installed with --no-deps due to torch>=2.7 pin conflict; descript-audio-codec and torchaudio added as explicit sub-dependencies.