Files
voicebox/backend/requirements.txt
T
James Pine 4e7772a21d add HumeAI TADA TTS engine (1B English + 3B Multilingual)
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.
2026-03-17 01:55:15 -07:00

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# FastAPI and server
fastapi>=0.109.0
uvicorn[standard]>=0.27.0
pydantic>=2.5.0
# Database
sqlalchemy>=2.0.0
alembic>=1.13.0
# ML models
torch>=2.1.0
transformers>=4.36.0,<=4.57.6
accelerate>=0.26.0
huggingface_hub>=0.20.0
qwen-tts>=0.0.5
# LuxTTS (voice cloning engine)
# piper-phonemize needs custom index (no PyPI wheels)
--find-links https://k2-fsa.github.io/icefall/piper_phonemize.html
# linacodec is a git-only dep of Zipvoice (uv-only source, pip can't resolve it)
linacodec @ git+https://github.com/ysharma3501/LinaCodec.git
Zipvoice @ git+https://github.com/ysharma3501/LuxTTS.git
# Chatterbox TTS sub-dependencies (chatterbox-tts itself is installed
# --no-deps in the setup script because it pins numpy<1.26 / torch==2.6
# which are incompatible with Python 3.12+)
conformer>=0.3.2
diffusers>=0.29.0
omegaconf
pykakasi
resemble-perth>=1.0.1
s3tokenizer
spacy-pkuseg
pyloudnorm
# HumeAI TADA sub-dependencies (hume-tada itself is installed
# --no-deps in the setup script because it pins torch>=2.7,<2.8)
descript-audio-codec>=1.0.0
torchaudio
# Audio processing
librosa>=0.10.0
soundfile>=0.12.0
numpy>=1.24.0
numba>=0.60.0,<0.61.0
pedalboard>=0.9.0
# HTTP client (for CUDA backend download)
httpx>=0.27.0
# Utilities
python-multipart>=0.0.6
Pillow>=10.0.0