NormalizedAmplitudeToFloatList

The NormalizedAmplitudeToFloatList node receives an input of type NORMALIZED_AMPLITUDE, which should be an array representing audio amplitude.

The NormalizedAmplitudeToFloatList node is an audio data processing node whose core function is to convert normalized audio amplitude data into a list of floating-point numbers. It primarily serves as a bridge connecting other audio processing nodes, facilitating data transfer between different nodes.

Node Function

This node receives an input of type NORMALIZED_AMPLITUDE, which should be an array representing audio amplitude. Internally, the node uses the NumPy library's clip function to ensure all input values are constrained within the range [0.0, 1.0], then converts the processed array into a standard Python list format for output.

Node Parameter Description - NormalizedAmplitudeToFloatList

Connection Inputs (Inputs)

Parameter Name	Data Type	Required	Default Value	Range/Options	Description
`normalized_amp`	NORMALIZED_AMPLITUDE	Yes	-	-	Parameter description 1 (Input parameter: Receives a normalized audio amplitude array. Its values will be automatically clipped to the range 0.0 to 1.0.)

Output

Parameter Name	Data Type	Description
FLOAT	FLOAT	Parameter description 2 (Output parameter: Outputs a list composed of floating-point numbers, intended for passing to downstream nodes.)

Usage Scenarios

In practical applications, this node is often used in conjunction with the AudioScheduler series of nodes to form an audio-driven generation workflow. For example, a user can feed analyzed audio amplitude into this node, then connect the output list of floating-point numbers to nodes controlling image generation parameters (such as intensity, scale), thereby achieving effects like audio rhythm visualization or audio-visual synchronization.