In this chapter, we demonstrated many techniques for processing speech and images. This capability is becoming important, as electronic devices are increasingly embracing these communication mediums.
TTS was demonstrated using FreeTSS. This technique allows a computer to present results as speech as opposed to text. We learned how we can control the attributes of the voice used, such as its gender and age.
Recognizing speech is useful and helps bridge the human-computer interface gap. We demonstrated how CMUSphinx is used to recognize human speech. As there is often more than one way speech can be interpreted, we learned how the API can return various options. We also demonstrated how individual words are extracted, along with the relative confidence that the right word was identified.
Image processing is a critical aspect of many applications. We started our discussion of image processing by use Tess4J to extract text from an image. This process is sometimes referred to as OCR. We...