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This paper presents a modular end-to-end speech-to-speech conversational system for the low-resource Algerian Dialect, integrating ASR, NLU, RAG, and TTS with dedicated datasets and fine-tuned models.
This paper presents an end-to-end hybrid framework for rumour detection in low-resource Algerian dialect social media content, achieving an F1-score of 0.84 by combining transformer embeddings with a classical classifier.