TADA - Text-Acoustic Dual-Alignment Large Language Model
TADA is a unified speech-language model that synchronizes speech and text into a single, cohesive stream via 1:1 alignment. Each autoregressive step covers one text token, dynamically determining its duration and prosody — eliminating fixed frame rates and transcript hallucination.
For full details, evaluation results, and documentation, see the GitHub repository.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file hume_tada-0.1.9-py3-none-any.whl.
File metadata
- Download URL: hume_tada-0.1.9-py3-none-any.whl
- Upload date:
- Size: 2.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5709afe40e4da3ce96259252906c93a07979ee7f4aae39590644af29cac322b2
|
|
| MD5 |
547341e7c297bcc090520dfe37a4a827
|
|
| BLAKE2b-256 |
1e984400d67a6ba3de9339c9fe1777f20b0a68897fcfe461a4fa265c6442b6dd
|