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A fine-tuned Wav2Vec2-based Automatic Speech Recognition (ASR) system with data augmentation, efficient training, and transcription capabilities. Supports local and Mozilla Common Voice datasets, with evaluation via Word Error Rate (WER). 🚀
Pipeline orientado a eventos de avaliação de entrevistas de recrutamento (FastAPI, Redis Queue, PostgreSQL), com transcrição pluggable (WhisperX / OpenAI), diarização por falante (Pyannote), scoring estruturado com LLMs via OpenRouter e validação de evidências (Human-in-the-loop).