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add HumeAI TADA TTS engine (1B English + 3B Multilingual)

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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.
This commit is contained in:
James Pine
2026-03-17 01:55:15 -07:00
parent 51fb320b8c
commit 4e7772a21d
13 changed files with 437 additions and 16 deletions
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backend/models.py
+2 -2
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@@ -66,9 +66,9 @@ class GenerationRequest(BaseModel):
text: str = Field(..., min_length=1, max_length=50000)
language: str = Field(default="en", pattern="^(zh|en|ja|ko|de|fr|ru|pt|es|it|he|ar|da|el|fi|hi|ms|nl|no|pl|sv|sw|tr)$")
seed: Optional[int] = Field(None, ge=0)
model_size: Optional[str] = Field(default="1.7B", pattern="^(1\\.7B|0\\.6B)$")
model_size: Optional[str] = Field(default="1.7B", pattern="^(1\\.7B|0\\.6B|1B|3B)$")
instruct: Optional[str] = Field(None, max_length=500)
engine: Optional[str] = Field(default="qwen", pattern="^(qwen|luxtts|chatterbox|chatterbox_turbo)$")
engine: Optional[str] = Field(default="qwen", pattern="^(qwen|luxtts|chatterbox|chatterbox_turbo|tada)$")
max_chunk_chars: int = Field(
default=800, ge=100, le=5000, description="Max characters per chunk for long text splitting"
)