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pdTetteh/README.md

I build evaluation-grounded AI systems for African and low-resource contexts.

My work combines:

  • Responsible AI and AI evaluation
  • Retrieval-grounded assistants and agent workflows
  • Low-resource speech and language systems
  • Dataset curation, validation, and benchmarking
  • Human escalation, uncertainty handling, and real-world failure analysis

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  1. west-africa-voice-support-agent west-africa-voice-support-agent Public

    Voice-first support agent for low-resource West African customer-service settings, with local ASR, hybrid retrieval, grounded answers, and confidence-aware escalation.

    Python

  2. audio-rag-eval-lab audio-rag-eval-lab Public

    A lightweight evaluation and dataset-quality platform for speech/audio and RAG systems, with audits, metrics, jobs, persisted reports, and a simple web UI.

    Python

  3. audio-dataset-audit audio-dataset-audit Public

    Toolkit for auditing speech and audio datasets for leakage, imbalance, metadata gaps, split hygiene, and file-level quality issues.

    Python

  4. fedspeech-ghana fedspeech-ghana Public

    Federated ASR baseline across Ghanaian accent splits using wav2vec2, with per-client evaluation and reproducible experiments.

    Jupyter Notebook

  5. ghana-soundscapes-benchmark ghana-soundscapes-benchmark Public

    Benchmark for Ghanaian urban soundscapes with manifests, reproducible baselines, and evaluation workflows for environmental audio classification.

    Jupyter Notebook

  6. clean-speech-recorder clean-speech-recorder Public

    HTML