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Book Overview & Buying
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Table Of Contents
Hands-On Artificial Intelligence for IoT - Second Edition
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In this chapter, we’ll explore how to work effectively with text, audio, and speech data originating from IoT devices. As IoT ecosystems become increasingly integrated into our daily lives – through voice assistants, smart home hubs, industrial monitoring systems, and wearable sensors – non-visual data (e.g., textual logs, voice commands, and environmental audio) takes on a critical role. We’ll cover preprocessing techniques, natural language understanding (NLU), natural language generation (NLG), audio feature extraction, audio command recognition, and speech-to-text transcription. Finally, we’ll discuss how to integrate these capabilities into a voice-assisted IoT environment while considering performance, scalability, and privacy.
In this chapter, we’re going to cover the following main topics: