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Microtonality: History & Music
Microtonality is the use in music of microtones — intervals smaller than a semitone, also called "microintervals". It may also be extended to include any music using intervals not found in the customary Western tuning of twelve equal intervals per octave. In other words, a microtone may be thought of as a note that falls "between the keys" of a piano…
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Microtonality topic overview
The analysis highlights History and Music as prominent areas in the source structure around Microtonality.
Related topics
257
Source areas
6
Connected nodes
263
Extracted relationships
188
Related term clusters
47
Bridge connections
263
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
In the West · 124 topics
Terminology · 55 topics
History · 39 topics
Microtonality in rock music · 19 topics
Microtonality in electronic music · 17 topics
Overview · 3 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
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Advanced semantic analysis
How Microtonality connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Microtonality shows recurring relationship patterns in the source. For example, Microtonality → Alain Bancquart, Alois Hába, Alvin Lucier, Australia, Austria, Bartók, Belgium, Ben Johnston, Brian Ferneyhough, Bruce Mather, Canada, Carlton Gamer, Charles Ives, Claude Ballif, Czechoslovakia, Douglas Leedy, Easley Blackwood, Edgard Varèse, Eivind Groven, Erv Wilson Another extracted example is Microtonality → Aphex Twin, Brazil, Chinese, Clarence Barlow, Claude Vivier, Claus-Steffen Mahnkopf, Daniel James Wolf, Dave Soldier, David First, Dean Drummond, Dongryul Lee, Elaine Walker, Elizabeth Brown, Enno Poppe, Eric Mandat, Erling Wold, ETs, Fabio Costa, Franklin Cox, François Paris. Use these groups to spot repeated connection types before inspecting the individual relationships.
Microtonality
Top relations
related to Western microtonal pioneers· 93
Microtonality → Alain Bancquart, Alois Hába, Alvin Lucier, Australia, Austria, Bartók, Belgium, Ben Johnston, Brian Ferneyhough, Bruce Mather, Canada, Carlton Gamer, Charles Ives, Claude Ballif, Czechoslovakia, Douglas Leedy, Easley Blackwood, Edgard Varèse, Eivind Groven, Erv Wilson
related to Later Western microtonal composers· 73
Microtonality → Aphex Twin, Brazil, Chinese, Clarence Barlow, Claude Vivier, Claus-Steffen Mahnkopf, Daniel James Wolf, Dave Soldier, David First, Dean Drummond, Dongryul Lee, Elaine Walker, Elizabeth Brown, Enno Poppe, Eric Mandat, Erling Wold, ETs, Fabio Costa, Franklin Cox, François Paris
related to Microtone· 16
Microtonality → English, French, German, In English, In French, Indian, Julián Carrillo, Kleinintervall, Maud MacCarthy Mann, Mexican, Microinterval, Microtonal, Mikrointervall, Prior, Spanish, The English
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 188 structured relationships around Microtonality. Examples in this analysis include микротональность → instance of → this generalization term allowed also to avoid derivatives and Jon Catler have incorporated microtonal guitars like 31-tone equal tempered guitar → instance of → written and recorded by the delta blues musician Robert Johnson.Musicians. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
микротональность
instance of
this generalization term allowed also to avoid derivatives
0.80
text
Jon Catler have incorporated microtonal guitars like 31-tone equal tempered guitar
instance of
written and recorded by the delta blues musician Robert Johnson.Musicians
0.80
text
a 62-tone just intonation guitar in blues
instance of
written and recorded by the delta blues musician Robert Johnson.Musicians
0.80
text
jazz rock music.English rock band Radiohead has used microtonal string arrangements in their music
instance of
written and recorded by the delta blues musician Robert Johnson.Musicians
0.80
text
such as on
instance of
written and recorded by the delta blues musician Robert Johnson.Musicians
0.80
text
the 96ET
instance of
most particularly very dense ETs
0.80
text
Microtonality
related to Later Western microtonal composers
Hans-Joachim Koellreutter
0.60
section
Microtonality
related to Later Western microtonal composers
Brazil
0.60
section
Microtonality
related to Later Western microtonal composers
Clarence Barlow
0.60
section
Microtonality
related to Later Western microtonal composers
Gérard Grisey
0.60
section
Microtonality
related to Later Western microtonal composers
Max Méreaux
0.60
section
Microtonality
related to Later Western microtonal composers
Michael Tilson Thomas
0.60
section
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Microtonality bring nearby vocabulary together. In this analysis, examples include Also, English and Western. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
equal temperament
Temperament
Octave
Intonation
Just
Temperaments
Tuning
System
Used
Tunings
Microtonal
Tones
Intervals
19 equal temperament
Temperament
Octave
Intonation
Just
Temperaments
Tuning
System
Used
Tunings
Microtonal
Tones
Intervals
flying microtonal banana
Music
Intonation
Scales
Just
Used
Octave
Temperament
Instruments
Musical
Tunings
Tuning
Tone
43 unequal tones to the octave
Used
Temperament
Just
Intonation
Tuning
Tunings
Scales
Microtonal
Musical
System
Greek
Tone
intervals
Octave
Semitone
Used
Microtonal
Ancient
Also
Term
Equal
Musical
Enharmonic
Music
Tuning
quarter tone
Tones
Tone
Used
Just
Intonation
Third
Enharmonic
Ancient
Temperament
Greek
System
Tunings
harvard dictionary of music
Microtonal
Tuning
Term
New
Used
Microtone
Tone
Just
Edition
Intonation
Equal
Quarter
the new grove dictionary of music and musicians
Microtonal
Tuning
Term
New
Used
Microtone
Tone
Just
Edition
Intonation
Equal
Quarter
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Microtonality, one of the stronger structural bridges in this analysis connects Microtonality with In the West. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Min side: 3
Microtonality — In the West· splits 139 ⟂ 125Microtonality — Terminology· splits 208 ⟂ 56Microtonality — History· splits 224 ⟂ 40Microtonality — Microtonality in rock music· splits 244 ⟂ 20Microtonality — Microtonality in electronic music· splits 246 ⟂ 18Microtonality — Overview· splits 260 ⟂ 4
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Microtonality
Nodes264
Edges263
Triples188
Avg. degree1.99
Density0.007576
Components1
Source & methodology
TTTA analyzes the structure around Microtonality to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Music, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
