Tsunami Super WAV Trigger Hookup Guide
Contributors:
santaimpersonator
Resources and Going Further
For more information on the Tsunami Super WAV Trigger (Qwiic), check out the links below:
- Schematic (PDF)
- Eagle Files (ZIP)
- Board Dimensions
- Tsunami User Guide
- Tsunami Downloads Page
- microSD Cards for Audio 2024
- microSD Cards for Audio
- Tsunami Arduino Serial Library
- SparkFun Tsunami Qwiic Arduino Library
- Python Library (Special Thanks to Nicholas Hayeck!)
- GitHub Hardware Repo
- Product Showcase Video
For more inspiration, check out theses other audio related tutorials:
Getting Started with the LilyPad MP3 Player
The LilyPad MP3 Player is an amazing little board that contains almost everything you need to play audio files. You can use it to create all kinds of noisy projects, from MP3 hoodies to talking teddy bears. Your imagination is the only limit! This tutorial will help you get started.
My Drunk Kitchen Apron
A fun project that uses the LilyPad MP3 trigger. This apron will dispense helpful kitchen advice and humor from the host of My Drunk Kitchen, Hannah Harto!
MiniGen Hookup Guide
Using the MiniGen, SparkFun's Arduino Pro Mini signal generator shield
SparkPunk Sequencer Hookup Guide
How to assemble and use the SparkPunk Sequencer kit.
SparkFun Inventor's Kit for Photon Experiment Guide
Dive into the world of the Internet of Things with the SparkFun Inventor's Kit for Photon.
Vox Imperium: Stormtrooper Voice Changer
Add some flair to your Imperial uniform by changing your voice using a Teensy 3.2 and Prop Shield.
Tinker Kit Circuit Guide
This guide takes you through the basics of building 11 different circuits with the SparkFun Tinker Kit and how to program them using the Arduino IDE.
AzureWave Thing Plus (AW-CU488) Hookup Guide
The SparkFun AzureWave Thing Plus is a Feather form-factor development board equipped with the AW-CU488. We'll highlight key features of the board and show you to get started with the development board. A few Arduino examples will be highlighted to connect to a WiFi router, calculate the Fast Fourier Transform (FFT) from an input microphone, output an analog signal to a speaker, and connect an Qwiic-enabled device.