Hands-On Deep Learning for IoT

Data preprocessing

Data preprocessing is an essential step for a DL pipeline. The speech commands dataset consists of 1-second .wav files for each short speech command, and these files only need to be converted into a spectrum image. However, the downloaded audio files for the second use case are not uniform in length; hence, they require two-step preprocessing:

• .mp3 to uniform length (such as a 5-second length) WAV file conversion
• .wav file to spectrum image conversion.

The preprocessing of the datasets is discussed in the data collection section. A few issues to be noted during the training image set preparation are as follows:

• Data Size: We need to collect at least a hundred images for each class in order to train a model that works ...