JosueG/spark-tts-adja-t3

Spark TTS Adja T3

This is the thesis-final Spark TTS Adja model repo for the May 2026 CS thesis release. It is the public weight location for the best working Adja TTS family found during the project.

Thesis Role

This model is the primary text-to-speech artifact. It represents the T3 Spark path: the only TTS family in the project that produced clearly intelligible Adja in native-listening review.

Model And Data

• Task: text-to-speech
• Base model: unsloth/Spark-TTS-0.5B lineage
• Training data: Orpheus Adja speech lineage, public canonical dataset JosueG/adja-speech-asr-tts
• Release repo: FrejusGdm/cs-thesis-may-2026

Headline Result

The Spark T3 family is the thesis-best TTS direction. The canonical T3 run is reported with 36.14% C4v2 reverse-CER and 28.92% E4v4 reverse-CER; the longer T3 early-stop run reaches 33.73% C4v2 reverse-CER. Native listening review marked Spark T3 as intelligible Adja, while most other TTS families collapsed into noise or non-Adja output.

See:

• results/adja-nmt/tts-comparison.md
• results/adja-nmt/pipeline-comparison.md

Limitations

• Reverse-WER and reverse-CER inherit ASR model error. Treat them as relative diagnostics, not absolute speech-quality scores.
• The dataset is small and speaker coverage is limited.
• Generated speech should be reviewed by fluent or native Adja speakers before use outside research.

Citation

If you use this model, cite:

Josue Godeme. 2026. CS Thesis May 2026: French-Adja MT and Adja Speech Experiments. https://github.com/FrejusGdm/cs-thesis-may-2026