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Dziri Voicebot: Speech-to-Speech System for Algerian Dialect

Researchers have developed Dziri Voicebot, an end-to-end speech-to-speech conversational system specifically for the Algerian dialect. This system addresses the challenges of low-resource languages, including a lack of standardized orthography and frequent code-switching with French. The pipeline integrates automatic speech recognition (ASR) using a fine-tuned Whisper model, natural language understanding, retrieval-augmented generation, and text-to-speech synthesis, all trained on newly constructed datasets. AI

IMPACT This work provides a reproducible baseline for end-to-end conversational modeling in low-resource languages, potentially enabling broader access to speech technologies.

RANK_REASON The cluster contains an academic paper detailing a new system for a low-resource language. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Dziri Voicebot: Speech-to-Speech System for Algerian Dialect

COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Dihia Lanasri, Fairouz Taki, Asma Kemmoum ·

    Dziri Voicebot: An End-to-End Low-Resource Speech-to-Speech Conversational System for Algerian Dialect

    arXiv:2606.26003v1 Announce Type: new Abstract: Automatic speech and language technologies are still heavily biased toward high-resource languages, limiting their applicability to dialectal and low-resource settings such as Algerian Dialect. This language presents additional chal…

  2. arXiv cs.CL TIER_1 English(EN) · Asma Kemmoum ·

    Dziri Voicebot: An End-to-End Low-Resource Speech-to-Speech Conversational System for Algerian Dialect

    Automatic speech and language technologies are still heavily biased toward high-resource languages, limiting their applicability to dialectal and low-resource settings such as Algerian Dialect. This language presents additional challenges including lack of standardized orthograph…