Optimal Voice Recognition Sensor For I2C UART For Micro:Bit Arduino Raspberry Pi Python ESP32 Self Learning Offline Language
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<span style="font-weight:bold;font-size:16px;">Optimal Voice Recognition Sensor For I2C UART For Micro:Bit Arduino Raspberry Pi Python ESP32 Self Learning Offline Language</span>
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<span style="font-size:18px;"><div>Easy to Use:The offline voice module is simple and compatible with existing platforms like for Arduino UNO, for micro-bit, and ESP32, It supports plug-and-play through I2C and UART communication methods, allowing easy integration into projects.<br />121 Ready-to-Use Words:The built-in commands are commonly used in educational and smart home scenarios, allowing for immediate use without any configuration, such as "Play music", "Open the door", "Turn on the light, "Close the window." Here is the full list of command words.<br />Self-Learning Function:The self-learning function is user-friendly, allowing users to add 17 customized command words. Any language or sound can be trained as a command, providing great flexibility for interactive audio projects.<br />No Internet Connection, More Secure:Users need not worry about their conversations being recorded and uploaded to the cloud. The module functions seamlessly in outdoor projects, schools, and other environments with unstable networks. Unlike existing online voice assistants that rely on cloud platforms and require internet access, potentially compromising device data privacy during use.<br />High Integration, Saving More Space:The offline voice module integrates an onboard speaker and microphone. High integration saves space and eliminates the hassle of complicated wiring, enhancing the project's neatness and stability.<br /><br />Color: Black<br />Material: PCB<br /><br />Package Contents:<br />1 x Offline speech recognition Module<br /><br />Only the above package content, other products are not included.<br />Note: Light reflection and different displays may cause the color of the item in the picture a little different from the real thing. The measurement allowed error is +/- 1-3cm.</div></span>
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$90.455
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- Category : Computer & Office
- Brand : wassuh_store Wassuh Store
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<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title>
</title>
<style>
body {
font-size: 75%;
color: #000;
font-family: Open Sans,Arial,Helvetica,sans-senif,SimSun,"宋体";
line-height: 1.3;
}
dl {
margin: 0px;
width: 480px;
float: left;
}
dt {
width: 100px;
height: 15px;
float: left;
}
dd {
width: 240px;
height: 15px;
float: left;
}
dl dt {
margin: 0px;
line-height: 22px;
color: #474747;
font-size: 14px;
font-family: tahoma;
}
#product-desc {
width: 100%;
height: 209px;
}
#description {
width: 100%;
height: 50%;
}
#details {
width: 100%;
height: 50%;
}
.ui-box-title {
height: 30px;
font-size: 15px;
font-family: tahoma;
font-weight: bold;
background-color: #ddd;
text-anchor: inherit;
padding-top: 8px;
margin: 0px;
}
.ui-box-body {
margin: 0px;
}
#tbspecifics {
border-right: 1px solid black;
border-bottom: 1px solid black;
}
#tbspecifics tr {
height: 30px;
}
#tbspecifics td {
width: 100px;
border-left: 1px solid black;
border-top: 1px solid black;
}
</style>
<div style="width:100%;height:100%;">
<div style="width:100%;text-align:center;height:30px;" id="title">
<span style="font-weight:bold;font-size:16px;">Optimal Voice Recognition Sensor For I2C UART For Micro:Bit Arduino Raspberry Pi Python ESP32 Self Learning Offline Language</span>
</div>
<div id="description">
<div class="ui-box-body">
<span style="font-size:18px;"><div>Easy to Use:The offline voice module is simple and compatible with existing platforms like for Arduino UNO, for micro-bit, and ESP32, It supports plug-and-play through I2C and UART communication methods, allowing easy integration into projects.<br />121 Ready-to-Use Words:The built-in commands are commonly used in educational and smart home scenarios, allowing for immediate use without any configuration, such as "Play music", "Open the door", "Turn on the light, "Close the window." Here is the full list of command words.<br />Self-Learning Function:The self-learning function is user-friendly, allowing users to add 17 customized command words. Any language or sound can be trained as a command, providing great flexibility for interactive audio projects.<br />No Internet Connection, More Secure:Users need not worry about their conversations being recorded and uploaded to the cloud. The module functions seamlessly in outdoor projects, schools, and other environments with unstable networks. Unlike existing online voice assistants that rely on cloud platforms and require internet access, potentially compromising device data privacy during use.<br />High Integration, Saving More Space:The offline voice module integrates an onboard speaker and microphone. High integration saves space and eliminates the hassle of complicated wiring, enhancing the project's neatness and stability.<br /><br />Color: Black<br />Material: PCB<br /><br />Package Contents:<br />1 x Offline speech recognition Module<br /><br />Only the above package content, other products are not included.<br />Note: Light reflection and different displays may cause the color of the item in the picture a little different from the real thing. The measurement allowed error is +/- 1-3cm.</div></span>
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<div class="ui-box-body">
<span style="font-size:18px;"><table border="0" cellpadding="0" cellspacing="0" style="width: 100.0%;"><tbody><tr> <td style="margin: 0 auto; text-align: center;"><p></p><p></p><p></p><p></p><p></p><p></p></td></tr></tbody></table> </span><br />
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