Hybrid framework using transformer embeddings plus classical classifier achieves 0.84 F1 for rumour detection in Algerian dialect on a newly constructed dataset from real posts, synthetic data, and FASSILA corpus.
Iraqi Journal for Computer Science and Mathematics , volume=
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The authors construct and evaluate an end-to-end speech-to-speech pipeline for Algerian Dialect by adapting Whisper for ASR, transformer embeddings for NLU, and a neural TTS on custom dialectal data.
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An End-to-End Hybrid Framework for Rumour Detection in Low-Resources Algerian Dialect
Hybrid framework using transformer embeddings plus classical classifier achieves 0.84 F1 for rumour detection in Algerian dialect on a newly constructed dataset from real posts, synthetic data, and FASSILA corpus.
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Dziri Voicebot: An End-to-End Low-Resource Speech-to-Speech Conversational System for Algerian Dialect
The authors construct and evaluate an end-to-end speech-to-speech pipeline for Algerian Dialect by adapting Whisper for ASR, transformer embeddings for NLU, and a neural TTS on custom dialectal data.