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                 <p><strong><em>Hey Buddy!</em></strong> is a library for training wake word models (a.k.a audio keyword spotters) and deploying them to the browser for real-time use on CPU or GPU.</p>
                 <p>Using a wake-word as a gating mechanism for voice-enabled web applications carries benefits like reduced power consumption, reduced redundant computation, and enhanced privacy.</p>
-                <p>This space serves as a demonstration of the JavaScript library for front-end applications. Say something like, <em>&ldquo;Hey buddy, how are you?&rdquo;</em> to see the wke word and voice activity detection in action. Your voice command will be isolated as an audio clip, ready to be sent to your application's backend.</p>
+                <p>This space serves as a demonstration of the JavaScript library for front-end applications. Say something like, <em>&ldquo;Hey buddy, how are you?&rdquo;</em> to see the wake word and voice activity detection in action. Your voice command will be isolated as an audio clip, ready to be sent to your application's backend.</p>
                 <p><em>This is in alpha, and misidentifications may occur.</em> If you find it to be consistently incorrect for your microphone or voice, I encourage you to open a discussion on <a href="https://huggingface.co/benjamin-paine/hey-buddy" target="_blank">the HuggingFace repository.</a></p>
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