@bottobot/td-mcp
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TouchDesigner MCP Server v2.8.0 - 21 MCP tools, 629 operators with clean parameter data, 69 Python API classes, 14 tutorials, 32 workflow patterns. Includes version system, experimental techniques KB, core tool enhancements, and experimental build support
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{
"id": "audio_spectrum_chop",
"name": "Audio Spectrum CHOP",
"displayName": "Audio Spectrum CHOP",
"category": "CHOP",
"subcategory": "Audio",
"version": "",
"lastUpdated": "2025-08-07T07:49:57.127Z",
"sourceFile": "C:\\Program Files\\Derivative\\TouchDesigner\\Samples\\Learn\\OfflineHelp\\https.docs.derivative.ca\\Audio_Spectrum_CHOP.htm",
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"description": "The Audio Spectrum CHOP calculates and displays the frequency spectrum of the input channels.",
"summary": "The Audio Spectrum CHOP calculates and displays the frequency spectrum of the input channels.",
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"description": "visual - Show the spectrum in a way that more useful, with (by default) high frequencies boosted in level, and lower frequencies boosted in horizontal range. timetoraw - Calculate the frequency spectrum assuming input is a signal. rawtotime - Reconstructs a signal assuming input is a frequency spectrum similar to that coming from and Audio Spectum set to the above option.",
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"description": "fftsize - - Converting to frequency needs a power-of-2 number of samples, like 512, 1024, 2048. (FFT means Fast Fourier Transform.) The more samples, the more accurate the spectrum but the more it doesn't represent the most recent sound. Whatever the size, the uses the most recent samples. Knowing that audio at 44100 samples per second with a timeline frame rate of 60 frames per second gives 735 samples per frame, if the cooks 1 frame later and the FFT size is 1024, then it will re-use 1024-735 = 289 samples, which is good as there's a little overlap. However if it cooks 2 frames later, it will miss using 446 frames since it will have advanced 735*2=1470 samples and it will only use 1024 of them.\n\n 64 - 128 - 256 - 512 - 1024 - 2048 - 4096 - 8192 - 16384 -",
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"description": "frequencylog - Logarithmic (=1) is more tangible for human hearing. Each octave is represented with the same number of samples, so low frequencies are more readable. Frequency (=0) shows one sample for a fixed number of Hz, which is what the raw FFT gives, but most of the upper samples are uninteresting. Your ears hear ranges of octaves better. IMPORTANT NOTE: If Mode is set to Visualization and this parameter is set to 0, the output data is interpreted more simply: 1 sample per Hz. Set the viewer Units to Samples (via RMB on graph) and the level you see at sample 5000 is the level at 5 KHz.",
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"description": "highfreqboost - When 0, the levels are not changed. When greater than 1, the levels are boosted, mostly at the high frequencies. High Frequency Boost can be over-driven past 1.",
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"description": "outputmenu - - The method how output length will be determined.\n\n matchtofrequency - setmanually -",
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"description": "outlength - Number of Samples desired in output. The fewer the samples, the less the frequency resolution.",
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"description": "timeslice - Turning this on forces the channels to be \"Time Sliced\". A is the time between the last cook frame and the current cook frame.",
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"description": "scope - To determine which channels get affected, some CHOPs use a string on the Common page. See Pattern Matching.",
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"description": "srselect - - Handle cases where multiple input CHOPs' sample rates are different. When Resampling occurs, the curves are interpolated according to the Interpolation Method Option, or \"Linear\" if the Interpolate Options are not available.\n\n first - Use rate of first input to resample others. max - Resample to the highest sample rate. min - Resample to the lowest sample rate. err - Doesn't accept conflicting sample rates.",
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