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

In this coding tutorial, you'll integrate multiple cuttingedge technologies, including:
1. Assemblyai SpeechtoText API for accurate realtime 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 naturalsounding audio.

Stepbystep, 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 realtime.

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 SpeechtoText with AssemblyAI
12:11 Step 3: OpenAI Chat completion
15:32 Step 4: Generate Humanlike audio with Elevenlabs
18:48 Running our AI Call Assistant

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

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#MachineLearning #DeepLearning