Sound – Audio Projects

ReSpeaker Home Automation

ReSpeaker Home Automation

ReSpeaker Home Automation Sample using Arduino MKR1000, Microsoft Cognitive Service Speech API, Api.ai and MQTT Things used in this project Hardware components Seeed ReSpeaker Mic Array v2.0 × 1 Arduino MKR1000 × 1 LED (generic) × 2 Jumper wires (generic) × 1 Software apps and online services Arduino IDE Python Microsoft Cognitive Services Speech API […]

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Audio Amplifier Circuit on PCB Using LM386

Audio Amplifier Circuit on PCB Using LM386

In this project, we tend to area unit getting to create a Headphone/Audio electronic equipment by exploitation self-designed PCB. This project is especially designed for amplifying the audio signal from the headphones however we will additionally use it for amplifying the subwoofer or speaker output, simply by switch few jumpers. When we use headphones with

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APR9600 Voice Recording and Playback System with JRC286D Chip ICStation Mega 2560 Compatible Arduino

APR9600 Voice Recording and Playback System with JRC286D Chip ICStation Mega 2560 Compatible Arduino

ICStation team introduce you this APR9600 voice recording and playback system used in elevator based on the ICStation Mega2560 compatible with Arduino. It uses DC5V voltage to work. When you press the different keys, the loudspeaker will sound that which floor you arrive. This design uses a APR9600 voice chip as the core of the

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a dress that gets excited when tweeted

Making the TFF: a dress that gets excited when tweeted

The idea of this dress comes from a series of tweets with online friends @shineslike and @arduinogirl.  @shineslike and I had taken a half day Arduino workshop given by @arduinogirl at the MCN 2011 conference. I was immediately inspired creatively by the sensory and interactive opportunities. Over the next few months I struggled with the electronics

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Hear your plant make music Ethernet version

Hear your plant make music! – Ethernet version

This walk-through will show you how to build a sensor to monitor your plant’s environment and use Stats in Sound’s ERC-20 app to turn this data into music, allowing you to listen to your plant’s reaction to it’s environment.  For more information on this project, please visit www.statsinsound.org.uk. Below is a sample of music generated

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