Empower your ESP32 project with natural-sounding AI voice conversion using the cloud-based Wit.ai platform.
Devices and components
10 connecting wires 150 mm male
Breadboard 150x90
Audio power amplifier, AB
ESP32 development board
Materials and tools
fritzing
Software and tools
arduino
Project description
📌Presentation
🎯 Why use cloud-based TTS for ESP32?
Only ~520 KB of RAM – not enough for large voice models
A 240 MHz dual-core processor – too slow for real-time synthesis
Limited flash storage – insufficient space for full voice databases
No built-in digital signal processor (DSP) — makes audio synthesis demanding
🧠 How Text-to-Speech Works (Behind the Scenes)
Text standardization: Expand abbreviations, numbers, and symbols into a readable format.
Linguistic analysis: Divide the text into phonemes (the smallest units of sound).
Prosody generation: Add natural pauses, stress, and intonation.
Audio synthesis: Produce a digital voice waveform.
Playback: Play audio data to a speaker.
🔑 Setting up your Wit.ai account
New app: From your dashboard, create a new app – name it something meaningful.
Get Token: Go to Settings → HTTP API to retrieve your server access token.
Secure token: store it securely; don't hardcode it in public repositories.
📥 Installing required libraries
Go to Library Manager.
Search for “WitAITTS”.
Install the library created specifically for ESP32 TTS integration.
https://github.com/jobitjoseph/WitAITTS/archive/refs/heads/main.zip
Note: Content and images are from: https://projecthub.arduino.cc/, with some modifications.
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