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Currently, I am processing a single song by sequentially applying multiple models for tasks such as separation, echo, and noise processing. This involves individually applying each model one after the other.
Core of My Question
Is there a way to automate this process so that it can be done in a batch? The idea is to have a sequential workflow where the output of the first model is automatically processed by a second model, and then this processed track is further processed by another model, and so on.
To clarify, I am not looking for a method where a single song is processed simultaneously by three different models to produce three separate outputs. Instead, I am seeking a sequential, layered approach where each model acts upon the output of the previous one in a single, continuous workflow for a single track.
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Background of My Query
Currently, I am processing a single song by sequentially applying multiple models for tasks such as separation, echo, and noise processing. This involves individually applying each model one after the other.
Core of My Question
Is there a way to automate this process so that it can be done in a batch? The idea is to have a sequential workflow where the output of the first model is automatically processed by a second model, and then this processed track is further processed by another model, and so on.
To clarify, I am not looking for a method where a single song is processed simultaneously by three different models to produce three separate outputs. Instead, I am seeking a sequential, layered approach where each model acts upon the output of the previous one in a single, continuous workflow for a single track.
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