AI / Data Engineering

Voice Cloning

AI-powered voice cloning platform with Azure Synapse data infrastructure, enabling high-fidelity voice synthesis and scalable audio data processing.

AI voice cloning platform interface showing speaker embedding models and high-fidelity audio synthesis pipeline

Project Overview

This project combines AI voice cloning technology with a robust Azure data engineering backbone. The platform processes and stores large volumes of audio data using Azure Blob Storage and Azure SQL, with a complete ETL pipeline built on Azure Synapse. The AI layer handles voice synthesis, speaker embedding, and high-fidelity audio generation. AT developed the complete business logic and data flow architecture, ensuring seamless integration between the AI models and the data infrastructure.

Outcome

Delivered a production-ready voice cloning platform with a scalable data infrastructure capable of processing thousands of audio samples daily.

Tech Stack

Azure SynapseAzure Synapse
Azure Blob StorageAzure Blob Storage
Azure SQLAzure SQL
PythonPython
AI / TTS ModelsAI / TTS Models

Key Highlights

  • AI voice synthesis engine
  • Speaker embedding models
  • Azure Synapse data pipeline
  • Large-scale audio data processing
  • ETL automation
  • High-fidelity audio generation

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