Building AI Text to Speech & Speech to Text with Python


Building AI speech to speech translation, AI meeting transcriber & summariser, and voice command recognition system

What you will learn


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Learn how to build AI text to speech system using gTTS

Learn how to build AI speech to text system using Open AI Whisper

Learn how to build AI speech to speech translation system using NLP

Learn how to build AI meeting transcriber and summarizer system using DeepSeek

Learn how to build voice command recognition system for smart home automation simulation

Learn the basic fundamentals of AI text to speech synthesis and automatic speech recognition, such as getting to know their use cases and technical limitations

Learn how AI text to speech system works starting from converting written text into phonemes and acoustic features, then generating realistic human like voice

Learn how AI speech to text system works starting from capturing raw audio waveforms, then extracting features like MFCCs and using models like Open AI Whisper

Learn how AI speech to speech translation system works starting from recognizing input in the source language, translating it using NMT, synthesizing the speech

Learn how AI meeting transcriber and summarizer works starting from recording multi-speaker conversations, perform transcription, generate meeting summary

Learn how a voice command recognition system works by analyzing audio input, transcribing speech, and triggering predefined actions based on recognized phrases

Learn how to integrate AI models from Hugging Face library

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