In simple words: Deep learning can learn patterns in sound and changing measurements.
Audio and speech
Speech is a sequence of sound measurements. Deep learning can help convert speech to text, identify sounds, or reduce noise. The model first receives a numeric representation of the sound, not human words directly.
Sensor and time data
A machine can record temperature or vibration over time. A sequence model can search for changing patterns and flag unusual readings. Always check whether a simpler threshold or conventional model would work just as well.
See the flow
sound or sensor readings→numeric sequence→model→result
Simple example
A factory machine develops an unusual vibration pattern. The system flags it for maintenance staff to inspect.
Remember: Deep learning can learn patterns in sound and changing measurements.