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architecturetechnical paper candidatescore 38

Audio Segmentation

1. **Align speech to slides** - Link what's spoken to what's shown 2. **Enable transcription** - Future ASR to get spoken text 3. **Build curriculum** - Audio explanations paired with visual content 4. **Pronunciation training** - Native speaker audio for learners

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Extracted abstract or opening context

This document describes the audio extraction and segmentation system for future ASR integration. N'Ko educational videos contain spoken explanations alongside visual slides. By extracting and segmenting audio: 1. **Align speech to slides** - Link what's spoken to what's shown 2. **Enable transcription** - Future ASR to get spoken text 3. **Build curriculum** - Audio explanations paired with visual content 4. **Pronunciation training** - Native speaker audio for learners | Component | Calculation | Cost | |-----------|-------------|------| | Audio extraction | FFmpeg (local) | $0 | | Audio storage | ~500 MB total | ~$0.01/month | | Whisper API | 522 × 60 min × $0.006 | $188 |

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