📢 vhdm/whisper large fa v1 🎧 Fine tuned Whisper Large V3 Turbo for Persian Speech Recognition This model is a fine tuned version of openai/whisper large v3 turbo trained specifically on high quality Persian speech data from the vhdm/persian voice v1 dataset. 🧪 Evaluation Results Metric Value Final Validation Loss 0.1445 Word Error Rate (WER) 14.07% The model shows consistent improvement over training and reaches a solid WER of ~14% on clean Persian speech data. 🧠 Model Description This model aims to bring high accuracy automatic speech recognition (ASR) to Persian language using the Whisper architecture. By leveraging OpenAI's powerful Whisper Large V3 Turbo backbone and carefully curated Persian data, it can transcribe Persian audio with high fidelity. ✅ Intended Use This model is best suited for: 📱 Transcribing Persian voice notes 🗣️ Real time or batch ASR for Persian podcasts, videos, and interviews 🔍 Creating searchable transcripts of Persian audio content 🧩 Fine tuning or domain adaptation for Persian speech tasks 🚫 Limitations The model is fine tuned on clean audio from specific sources and may perform poorly on noisy, accented, or dialectal speech. Not optimized for…
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