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Extract specific audio segment randomly or from fixed point, ideal for sound design and analysis tasks.
The RandomAudioSegment node is designed to extract a specific segment from an audio waveform, either randomly or from a fixed starting point. This node is particularly useful for audio processing tasks where you need to analyze or manipulate a portion of an audio file without manually selecting the segment each time. By allowing both random and fixed start times, it provides flexibility in how audio segments are chosen, making it ideal for applications in sound design, audio analysis, and creative audio projects. The node ensures that the segment length is appropriate and adjusts automatically if the requested segment is longer than the audio itself, thus maintaining the integrity of the audio data.
This parameter represents the audio data that you want to process. It is expected to be in a dictionary format containing the waveform and sample rate. The waveform is the actual audio signal, while the sample rate indicates how many samples per second are in the audio. This input is crucial as it forms the basis of the segment extraction process.
The segment_length parameter specifies the duration of the audio segment you wish to extract, measured in seconds. It must be a positive floating-point number, with a default value of 10.0 seconds. The minimum allowable value is 0.1 seconds, and the maximum is 600.0 seconds. If the provided segment length is longer than the total duration of the audio, the node will adjust to use the full length of the audio. This parameter directly impacts the size of the extracted segment and should be chosen based on the specific needs of your project.
The start_time parameter allows you to specify the starting point of the audio segment in seconds. It is optional and defaults to -1.0, which indicates that a random start time should be used. If you provide a non-negative value, the node will attempt to start the segment at that specific time. However, if the specified start time exceeds the maximum possible start time for the given segment length, it will be clamped to the maximum possible value. This parameter provides control over the exact portion of the audio you wish to extract, offering both precision and randomness as needed.
The output is a dictionary containing the extracted audio segment and its sample rate. The waveform in this dictionary represents the portion of the original audio that was selected based on the input parameters. This output is essential for further audio processing or analysis, as it provides a manageable and focused segment of the original audio data.
segment_length is less than or equal to the total duration of the audio. If unsure, start with a smaller segment length and adjust as needed.start_time parameter to control the exact starting point of your segment. If you want to explore different parts of the audio, set start_time to -1.0 to enable random selection.segment_length provided is zero or negative, which is not valid.segment_length is a positive number greater than 0.1 seconds.segment_length is not a number, possibly due to incorrect input.segment_length and ensure it is a valid floating-point number.start_time and segment_length are set correctly and that they are within the bounds of the audio's duration. Adjust them as necessary.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.