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Djoko Series Dataset Architecture

The Djoko Series Dataset Creation System processes Djoko episodes into high-quality training data for: - **Bambara ASR** (Automatic Speech Recognition) - **Bambara ↔ English Translation** - **Bambara ↔ French Translation** (future) - **Multimodal Language Learning**

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The Djoko Series Dataset Creation System processes Djoko episodes into high-quality training data for: - **Bambara ASR** (Automatic Speech Recognition) - **Bambara ↔ English Translation** - **Bambara ↔ French Translation** (future) - **Multimodal Language Learning** ### 1. Voice Activity Detection (VAD) **Purpose**: Remove silence and extract only speech segments **Features**: - Energy-based detection - Spectral analysis for speech quality - Adaptive thresholding - Minimum segment duration filtering (0.5s+) - Merge nearby segments (<0.3s gaps) - Quality confidence scoring **Input**: Raw Djoko episode audio **Output**: List of speech segments with timestamps ### 2. Episode Processor **Purpose**: Orchestrate the complete processing pipeline

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