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README.md

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-license: apache-2.0
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+Amir Singh Model - Indian "Über Eats" Typ Voice Clone
+
+# Amir Singh Model - Indian "Über Eats" Typ Voice Clone
+
+## Overview
+
+The **Amir Singh Model** is a voice cloning model trained to mimic the voice of an "Indian Über Eats Typ". It uses RVC (Retrieval-based Voice Conversion) technology for efficient and accurate voice synthesis. The model was developed and trained on minimal data and optimized for quick deployment and use.
+**He is built different**
+## Key Features
+
+* **Voice Type**: Indian Über Eats Typ (Amir Singh)
+* **Training Data**: 5 minutes of audio data
+* **Epochs**: 250 epochs
+* **Segmentation & Training**:
+  * Data segmentation: 5 hours
+  * Training time: 1 hour
+* **Hardware Used**:
+  * GPU: NVIDIA RTX 4060 TI (8GB VRAM)
+  * RAM: 24GB
+
+## About RVC (Retrieval-based Voice Conversion)
+
+RVC is a cutting-edge technology designed for voice conversion and cloning. It employs a retrieval-based approach that ensures the generated voice closely resembles the target voice with minimal artifacts. RVC is highly efficient, making it suitable for training with limited data while delivering high-quality results.
+
+### Why RVC?
+
+* **Low Data Requirement**: High-quality voice models can be created with as little as a few minutes of training data.
+* **Fast Training**: Optimized for quick model training and deployment.
+* **High Fidelity**: Produces realistic and natural-sounding voice outputs.
+
+## Model Specifications
+
+* **Input**: Audio samples for training (5 minutes)
+* **Output**: Synthetic voice resembling "Amir Singh" with high accuracy
+* **Performance**: Designed to work efficiently on systems with moderate hardware capabilities
+
+## Usage
+
+To use the Amir Singh Model:
+
+1. Install the necessary dependencies, including RVC.
+2. Load the trained model in your preferred framework or platform.
+3. Input text or audio for voice conversion or synthesis.
+4. Generate outputs that replicate the Amir Singh voice
+
+Overview
+
+The Amir Singh Model is a voice cloning model trained to mimic the voice of an "Indian Über Eats Typ". It uses RVC (Retrieval-based Voice Conversion) technology for efficient and accurate voice synthesis. The model was developed and trained on minimal data and optimized for quick deployment and use.
+
+Key Features
+
+Voice Type: Indian Über Eats Typ (Amir Singh)
+
+Training Data: 5 minutes of audio data
+
+Epochs: 250 epochs
+
+Segmentation & Training:
+
+Data segmentation: 5 hours
+
+Training time: 1 hour
+
+Hardware Used:
+
+GPU: NVIDIA RTX 4060 TI (8GB VRAM)
+
+RAM: 24GB
+
+About RVC (Retrieval-based Voice Conversion)
+
+RVC is a cutting-edge technology designed for voice conversion and cloning. It employs a retrieval-based approach that ensures the generated voice closely resembles the target voice with minimal artifacts. RVC is highly efficient, making it suitable for training with limited data while delivering high-quality results.
+
+Why RVC?
+
+Low Data Requirement: High-quality voice models can be created with as little as a few minutes of training data.
+
+Fast Training: Optimized for quick model training and deployment.
+
+High Fidelity: Produces realistic and natural-sounding voice outputs.
+
+Model Specifications
+
+Input: Audio samples for training (5 minutes)
+
+Output: Synthetic voice resembling "Amir Singh" with high accuracy
+
+Performance: Designed to work efficiently on systems with moderate hardware capabilities
+
+Usage
+
+To use the Amir Singh Model:
+
+Install the necessary dependencies, including RVC.
+
+Load the trained model in your preferred framework or platform.
+
+Input text or audio for voice conversion or synthesis.
+
+Generate outputs that replicate the Amir Singh voice.