Azure AI Speech Service Tutorial | Text to Speech, Speech to Text & Translation with Pythonย #ai
In this complete hands-on tutorial, youโll learn how to build speech-enabled AI applications using Azure AI Speech Service with Python. GitHub URL to Clone the Code : https://github.com/TrainerKrunal/purp...
This video covers end-to-end speech capabilities, including:
Text-to-Speech (TTS) Speech-to-Text (STT) Real-time Speech Translation
We start from Azure Portal setup, explore the Python SDK, and then build live speech demos using microphone input and real-time processing.
This session is ideal for: Developers & software engineers Azure AI learners Microsoft Certified Trainers (MCTs) AI-102 exam aspirants Teams building voice-enabled applications
๐ What Youโll Learn in This Video
โ๏ธ What is Azure AI Speech Service โ๏ธ Creating Speech Service in Azure Portal โ๏ธ Subscription key & region-based authentication โ๏ธ Python project structure for speech apps โ๏ธ Text-to-Speech with multiple voices & languages โ๏ธ Speech-to-Text (live transcription using mic) โ๏ธ Continuous vs single-shot recognition โ๏ธ Real-time speech translation (multi-language) โ๏ธ Audio handling & microphone setup โ๏ธ Best practices for production speech apps
๐งฉ Azure AI Speech Capabilities Explained
With Azure AI Speech Service, you can:
Convert text into natural-sounding human speech Transcribe live speech with high accuracy Translate speech across languages in real time Build voice assistants, accessibility tools & chatbots Support multiple accents, languages & speaking styles All powered by pre-trained neural speech models โ no ML training required.
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