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README.md

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+# Kalam Technology – Arabic Speech Recognition
+
+
+**Kalam Technology** is a Swedish startup pioneering Arabic speech recognition solutions. As the first company in Sweden solely dedicated to Arabic language technologies, we aim to bridge the gap in AI-driven speech applications for Arabic speakers worldwide.
+
+## 🌍 About Us
+
+Founded in Linkoping, Sweden, Kalam Technology specializes in developing state-of-the-art Arabic speech recognition systems. Our mission is to empower Arabic-speaking communities by providing accurate and efficient speech-to-text solutions, catering to various dialects and use cases.
+
+## 🧠 Our Approach
+
+Arabic presents unique challenges for speech recognition due to its rich morphology, diverse dialects, and the use of an abjad writing system. To address these, we employ advanced transformer-based models and deep learning techniques:
+
+* **Transformer Models**: Utilizing architectures like Wav2Vec 2.0 and HuBERT for robust feature extraction and recognition.
+* **Dialect Handling**: Training on diverse datasets to accommodate dialectal variations, including Egyptian, Levantine, Gulf, and Maghrebi Arabic.
+* **Data Augmentation**: Implementing techniques such as TimeMasking and SpecAugmentation to enhance model generalization.
+
+## 🚀 Features
+
+* **High Accuracy**: Achieving competitive Word Error Rates (WER) on benchmarks like Common Voice Arabic.
+* **Real-Time Transcription**: Providing low-latency speech-to-text conversion suitable for live applications.
+* **Dialect Identification**: Automatically detecting and adapting to various Arabic dialects for improved accuracy.
+* **Emotion Recognition**: Integrating emotion detection capabilities for more nuanced understanding.
+
+## 📊 Performance
+
+Our models have demonstrated significant improvements in transcription accuracy, with recent implementations showing over 80% enhancement compared to baseline systems. This advancement positions our solutions ahead of many existing offerings in the market.
+
+## 🛠️ Getting Started
+
+To utilize our Arabic speech recognition models:
+
+1. **Installation**:
+
+   ```bash
+   pip install transformers
+   ```
+
+2. **Usage**:
+
+   ```python
+      # Load model directly
+      from transformers import AutoModel
+      model = AutoModel.from_pretrained("KalamTech/whisper-small-ar-cv-11")
+   ```
+
+
+## 📚 Datasets
+We train our models on a combination of publicly available and proprietary datasets, including:
+
+Common Voice Arabic: A multilingual dataset with diverse Arabic speech samples.
+
+ADI-5: Contains recordings from various Arabic dialects.
+
+MGB-3: Features Egyptian Arabic speech from diverse sources.
+
+🤝 Collaborations
+We actively seek partnerships with academic institutions and industry leaders to further research and development in Arabic speech technologies. If you're interested in collaborating, please reach out to us.
+
+📫 Contact:
+
+Email: info@kalam.se
+
+Website: https://kalam.se
+
+
+*Empowering Arabic communication through cutting-edge speech recognition.*
+