With the emergence of AI and machine learning come many questions for
gaining a better understanding of the world we live in. Humans have lived with
canines for centuries and some researchers believe they were domesticated in
“Siberia 26,000 – 19,700 years ago by Ancient North Eurasians.” (“Domestication
of the Dog,” 2024) Due to the long-standing intimate bonds humans have
developed with canines, communication with the species is a fascinating field
of study. By better understanding how and why canines communicate, humans can
harness the species for scientific benefits, for example, service animals to
help people with emotional or communication disorders.
Currently,
there are differing opinions as to canine vocalizations and whether there is
intelligence behind the sounds, or simply a response to stimuli. Most
researchers do agree there is a uniqueness to canine vocalizations, but the
debate of intent still exists. Because machine learning is an emerging
technology, research in this area is limited, but there have been some studies
focusing on breed variations, wolves vs domesticated canines, emotion, and
intelligence behind the vocalizations.
It is
important to expand on this research because of the implications concerning
daily interactions as well as medical interventions with canines. Canines are a
large part of society and understanding and interacting with them can bring
incredible benefits as well as enhanced safety around the species. For example,
if vocalizations were understood, humans would be able to better recognize
warning signs from aggressive canines, preventing bites or attacks. Another
example would be in the case of a person with a communication or emotional
disorder being able to employ a service animal to alert to a medical condition
they have. By better understanding canine vocalizations, combined with machine
learning technology, a device would be able to interpret the canine
vocalization back to the person, allowing them to better understand their
service animal and potentially save lives. This research is also important for
canines. Suppose the owner of a canine is away, and a dog-sitter is unfamiliar
with the canine. With the use of a device trained to the specific canine, the
care would be greatly increased for the canine.
Is
it possible for a teachable machine to interpret the reason Canis lupus
familiari is vocalizing based on a variety of audio files? It is believed
that a teachable machine will be able to determine and output the reason for Canis
lupus familiari vocalization and provide a percentage indicating the
confidence level of the model with its prediction. It may be discovered during
the research, that the teachable machine can recognize additional variations in
vocalizations for the same events and environments. There is a chance the
teachable machine cannot differentiate the sounds depending on the environment
or the event.