I have timeseries signal of sound echo back from instruments. They are firing kick, marker, wall, echo noise.
Since neural network can produce Seq2Seq prediction. I am using ResNet + 1DCNN to produce the predicted sequence.
What I have tried so far...
First picture blue is prediction, orange(lower line) is solution. The solution is describe by number as follow
class Label(Enum): BLANK: int = 0 LIQUID_LEVEL: int = 1 ECHO: int = 2 DOWN_HOLE_MARKER: int = 3 FIRING_KICK: int = 4
The first picture is made by using only 1 data and training. I found that neural network be able to generate as discrete timeseries.
However, when I train with more complex network and I give more than 1 data. A.I. started to not be able to generate sharp answer.
Question: Can neural network be able to convert analog timeseries to discrete timeseries?