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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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This chapter focused on handling and analyzing non-visual IoT data – specifically text, audio, and speech. It began by highlighting the importance of textual alerts, logs, and voice commands in IoT ecosystems, emphasizing how these modalities provide more intuitive user interfaces and richer context than raw numeric sensor readings. We covered fundamental preprocessing steps such as normalization, tokenization, stopword removal, and lemmatization, ensuring that textual data is clean and ready for analysis. We also introduced various encoding methods, from simple one-hot vectors to advanced contextual embeddings such as BERT, enabling more robust NLU.
Beyond text, we delved into audio processing and feature extraction. We covered how to classify audio commands, leverage speech recognition to transcribe spoken requests, and apply NLU to interpret them. The integration of voice assistants and IoT APIs was also discussed, showing how ASR, NLU, and device control can create...