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Learn how to build a real-time AI voice assistant using Python that can handle incoming calls, transcribe speech, generate intelligent responses, and provide a human-like conversational experience. Perfect for call centers, customer support, and virtual receptionist applications.

In this coding tutorial, you'll integrate multiple cutting-edge technologies, including:
1. Assemblyai Speech-to-Text API for accurate real-time transcription.
2. OpenAI's powerful language models for natural language processing (NLP) and response generation.
3. ElevenLabs' AI voice synthesis to convert text responses into natural-sounding audio.

Step-by-step, you'll create a Python application that seamlessly combines these APIs, enabling your AI assistant to listen to incoming audio, comprehend the speech, formulate contextual responses, and communicate back with synthesized voice in real-time.

Github code: https://github.com/smithakolan/Assemb...

Timestamps:
00:00 - Intro & Demo of application
01:10 - Outline of application
01:58 - Step 1: download python libraries
06:21 - Step 1: Streaming Speech-to-Text with AssemblyAI
12:11 - Step 3: OpenAI Chat completion
15:32 - Step 4: Generate Human-like audio with Elevenlabs
18:48 - Running our AI Call Assistant

#AIVoiceAssistant #RealTimeSpeechRecognition #NaturalLanguageProcessing #AIVoiceSynthesis #PythonTutorial #CallCenterAutomation #VoiceBot #StreamingSpeechtoText

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#MachineLearning #DeepLearning