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Spark-TTS Acholi Fine-tune -- v11

This model is part of a 16-experiment series fine-tuning Spark-TTS for Acholi (ach) text-to-speech, conducted as part of ongoing Masters research on offline AI dubbing for low-resource African languages.

Model weights and detailed experimental findings will be published after thesis submission.

Full Documentation

For the complete experiment log, methodology, and evaluation results across all 16 experiments, see the canonical model:

acellam/spark-tts-salt-ach-v16

About This Experiment

Version: v11 -- Fixed data pipeline

Language: Acholi (ach) -- Nilotic (Luo branch), ~1.5M speakers, northern Uganda and South Sudan

Pipeline: Whisper ASR -> SALT NLLB-1.3B Translation -> Spark-TTS Synthesis

Training scripts: gitlab.com/mistaguy6/spark-tts-training

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