SAMPLE-BASED REAL-TIME AUDIO PROCESSING IN MAX/MSP USING SCHEME FOR MAX (S4M)
Bibliographic record
Abstract
The audio processing objects in the Max/MSP platform operate on fixed size buffers of audio samples and are executed in a separate audio processing thread from the message handling objects. Implementing audio processing algorithms typically requires direct access to the individual samples. Currently, the two most common ways of accomplishing this are by compiling Max/MSP externals written in C or C++ or using the GEN sample-based visual patching environment that is also compiled. In this paper, we describe an alternative approach that uses an embedded Scheme interpreter that executes in the audio processing thread and enables direct manipulation of individual samples in real-time. The code is interpreted at runtime and can be modified on-the-fly. This is based on the Scheme for Max (S4M) extension to Max/MSP which was originally developed to operate in either the main or scheduler message threads. Three examples of use cases are described: spectral processing, audio effects, and audio feature extraction. The proposed approach enables rapid prototyping of audio and music processing that can be controlled interactively using the Max/MSP patching environment without requiring a compilation stage.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".