A developer has detailed their process for creating a more natural-sounding Text-to-Speech (TTS) system for the Marathi language. The project involved cleaning and processing messy, code-switched Marathi text to train a local Llama 3.1 8B LoRA model. The developer then used IndicF5 to synthesize speech from this model, encountering and documenting issues along the way. AI
IMPACT Demonstrates fine-tuning techniques for improving TTS naturalness in specific languages using existing models.
RANK_REASON The cluster describes the application of existing models (Llama 3.1 8B LoRA, IndicF5) to a specific language (Marathi) for a particular task (TTS), rather than a novel model release or research breakthrough.
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