This API provides three curated collections of temperaments tailored for different audiences, based on Fred Sturm's work distinguishing historical practice from theoretical constructs:
This API provides access to historical status classifications generated by the classify_historical_status.py script. It distinguishes between: - historically_used: Actually used in practice...
This API provides access to pattern groups identified by the identify_pattern_groups.py script. It implements Fred Sturm's finding that "7 names → 3 patterns" (1/4 comma meantone), showing how many...
I've been playing around with audio samples and Tone.js but was finding it tedious to keep writing code to load the same instrument samples. So I decided to put together a little code that makes it...
The examples_similarity.php page displays similarity examples from reports/examples.json. By default, this includes examples from all sources (including Scala). To limit examples to only CyberTuner...
This README documents p_value_temperament_classifier.py, the Python tool that powers the Our List classification. Use it whenever you want to regenerate p-value driven labels that combine both fifths...
This document summarizes the implementation of the Dark Counterpart analysis system that challenges the Temperament Similarity Engine (TSE) using the same data sources.
This document summarizes the implementation of the Dark Counterpart analysis system that challenges the Temperament Similarity Engine (TSE) using the same data sources.
This document clarifies the methodological choices, assumptions, and limitations of the Temperament Similarity Engine (TSE). Understanding these is crucial for proper interpretation of similarity...
This document clarifies the methodological choices, assumptions, and limitations of the Temperament Similarity Engine (TSE). Understanding these is crucial for proper interpretation of similarity...
The Temperament Similarity Engine (TSE) is a computational framework for analyzing, comparing, and clustering musical tuning temperaments. It measures similarity using:
====================================================================== SOCRATIC EXCHANGE: TSE vs. DARK COUNTERPART ======================================================================
====================================================================== SOCRATIC EXCHANGE: TSE vs. DARK COUNTERPART ======================================================================
====================================================================== SOCRATIC EXCHANGE: TSE vs. DARK COUNTERPART ======================================================================
====================================================================== SOCRATIC EXCHANGE: TSE vs. DARK COUNTERPART ======================================================================
====================================================================== SOCRATIC EXCHANGE: TSE vs. DARK COUNTERPART ======================================================================
====================================================================== SOCRATIC EXCHANGE: TSE vs. DARK COUNTERPART ======================================================================
====================================================================== SOCRATIC EXCHANGE: TSE vs. DARK COUNTERPART ======================================================================
====================================================================== SOCRATIC EXCHANGE: TSE vs. DARK COUNTERPART ======================================================================
The Temperament Similarity Engine (TSE) is a computational framework developed to analyze, compare, and cluster musical tuning temperaments. This article presents a validation study comparing...
The Temperament Similarity Engine (TSE) is a computational framework developed to analyze, compare, and cluster musical tuning temperaments. This article presents a validation study comparing...
This document presents a critical counter-analysis of the Temperament Similarity Engine (TSE) validation study. Using the same CyberTuner and PianoScope datasets, this analysis challenges the TSE's...
This document presents a critical counter-analysis of the Temperament Similarity Engine (TSE) validation study. Using the same CyberTuner and PianoScope datasets, this analysis challenges the TSE's...
This document summarizes the comprehensive improvements implemented for the Temperament Similarity Engine (TSE) based on critical examinations and proposed enhancements.
This document summarizes the comprehensive improvements implemented for the Temperament Similarity Engine (TSE) based on critical examinations and proposed enhancements.
The Temperament Similarity Engine (TSE) measures structural similarity between musical temperaments using a weighted combination of fifth-based, third-based, and comma-based metrics. This document...
The Temperament Similarity Engine (TSE) measures structural similarity between musical temperaments using a weighted combination of fifth-based, third-based, and comma-based metrics. This document...
The Temperament Similarity Engine (TSE) has been successfully implemented and validated using real-world datasets from CyberTuner (Chip2) and PianoScope (Fred). The analysis demonstrates that TSE...
The Temperament Similarity Engine (TSE) has been successfully implemented and validated using real-world datasets from CyberTuner (Chip2) and PianoScope (Fred). The analysis demonstrates that TSE...
Successfully completed comprehensive data analysis of the PianoScope and CyberTuner temperament datasets using the Temperament Similarity Engine (TSE) framework with full statistical validation.
## Context - Requested task: extract and translate IMSLP106837-PMLP156553-le_istituzioni_harmoniche.pdf with original page numbers. - Location of source PDF:...
Current text in murray_text%2Fmurray_text_00_preface.md is this: ut difficulty in terms of Ellis' logarithmic unit called the cent, the hundredth part of an equally tempered semitone, or 1/1200 part...
A comprehensive citation and cross-reference system for the Unequal Gen project, supporting both internal document links and external bibliographic citations.
Unify all temperament data into the SCL schema (scl_scales, scl_degrees, scl_degrees_map12) and deprecate direct reads from the legacy temperaments/intervals_* tables. Sources consolidated: Scala,...
## Overview This guide covers deploying the new Fred Sturm temperament data (83 historical temperaments) and the v9 viewing pages to your production server.
## Overview This guide covers deploying the Fred Sturm temperament data when you don't have SSH access to your server. We'll use FTP/SFTP and your hosting control panel instead.
- TODO — The content is truncated and combines multiple fragments (e.g., keyboard shortcuts, rounding cents, mismatched CSS references). It should be rewritten as a structured task list or replaced...
- TODO — The content is truncated and combines multiple fragments (e.g., keyboard shortcuts, rounding cents, mismatched CSS references). It should be rewritten as a structured task list or replaced...
All 21 Ancient Greek tuning systems documented by Claudius Ptolemy have been: 1. ✅ Structured as comprehensive JSON dataset 2. ✅ Formatted as readable markdown tables 3. ✅ Exposed via REST API...
Christian Friedrich Daniel Schubart's essay on the human voice and key characteristics, translated by Ted DuBois and published in New England Review (2004).
This section contains content that is not directly related to musical tuning and temperament theory. Here you'll find humor, recipes, and other unrelated topics.
Curated, chapter-by-chapter markdown files for Fred Sturm's "A Clear and Practical Introduction to Temperament History," published in the Piano Technicians Journal in 2010-2011. Each link opens the...
Successfully integrated all 9 parts of Fred Sturm's "A Clear and Practical Introduction to Temperament History" into a single comprehensive article (INTEGRATED_ARTICLE.md), addressing all of Fred's...
Fred Sturm's 9-part series "A Clear and Practical Introduction to Temperament History" provides the most authoritative, accessible, and historically accurate account of temperament practice...
This note documents labs_temperament_p_value.php, the Labs entry point for exploring the Our List classification via a new Three.js graph and JSON API integration.
This note documents labs_temperament_p_value.php, the Labs entry point for exploring the Our List classification via a new Three.js graph and JSON API integration.
MIT License Copyright (c) 2018 Nicholaus P. Brosowsky Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the...
<u>Arithmetical Division</u> — The equal division of the difference between two quantities, so that the resultant forms an arithmetical progression, as 9:8:7:6.
This document collects a few of Barbour's temperament descriptions and expresses them with explicit offsets that can be consumed programmatically (or forwarded to the forthcoming temperament...
This book is based upon my unpublished Cornell dissertation, <u>Equal Temperament: Its History from Ramis (1482) to Rameau (1737)</u>, Ithaca, 1932. As the title indicates, the emphasis in the...
The slug system now supports four types of human-readable URLs: 1. Canonical temperament slugs: /t/{slug} - Direct links to CyberTuner/PianoScope temperaments (new) 2. Contribution slugs:...
This document describes the temperament classification system used in Unequal Gen. The classifier automatically identifies temperament types based on structural patterns and historical naming...
This document describes the temperament classification system used in Unequal Gen. The classifier automatically identifies temperament types based on structural patterns and historical naming...
On Mon, Dec 1, 2025 at 6:42 PM Fred Sturm <fssturm@gmail.com> wrote: There are several important questions to raise. First, are you wanting to offer something specifically having to do with...