Digital Arabic Maqām Archive

Appearance

Research Applications ​

DiArMaqAr provides unprecedented tools for systematic investigation of maqāmic relationships while maintaining connection to conventional frameworks. This guide outlines key research applications and use cases.

Comparative Tuning System Analysis ​

The platform's integration of historical tuning systems enables comparative analysis of Arabic theoretical frameworks through consistent Persian-Arab-Ottoman note naming.

Research Questions ​

  • How does the same maqām manifest across different temperaments?
  • What are the consistencies and variations in theoretical approaches?
  • How do historical tuning systems compare to modern frameworks?
  • What are the practical implications of theoretical choices?

Methodology ​

  1. Select a maqām (e.g., Maqām Rāst)
  2. Compare across multiple tuning systems:
    • Al-Kindī (9th century ratios)
    • Al-Fārābī (10th century tunings)
    • Ibn Sīnā (11th century approaches)
    • Al-Ṣabbāgh (20th century comma-based system)
  3. Analyze:
    • Pitch class values
    • Interval relationships
    • Available transpositions
    • Modulation possibilities

Example: Theoretical Evolution ​

Comparing Al-Fārābī's 10th-century ratios with Al-Ṣabbāgh's 20th-century comma-based system demonstrates:

  • Theoretical evolution over time
  • Maintenance of essential intervallic relationships
  • Impact of measurement approaches on modal availability

Starting Note Convention Analysis ​

A crucial analytical capability lies in systematic comparison of tuning systems based on different starting note conventions.

Research Framework ​

Oud-Based Systems (ʿushayrān):

  • Reflect oud tuning in perfect fourths
  • Instrument-specific approaches
  • Examples: Al-Kindī, Al-Fārābī (oud conventions)

Monochord/Sonometer Systems (yegāh/rāst):

  • Abstract theoretical measurement
  • Cairo Congress (1932) approaches
  • Examples: Modern theoretical frameworks

Research Applications ​

  1. Availability Analysis:

    • Compare number of available maqāmāt
    • Compare number of available ajnās
    • Analyze transposition possibilities

  2. Modulation Networks:

    • Compare modulation capabilities
    • Identify differences in pathway structures
    • Analyze theoretical accessibility

  3. Historical Instrument Practice:

    • Understand how instrumental traditions affect theory
    • Reveal connections between practice and theory
    • Examine theoretical evolution

Quantitative Analysis ​

The platform's analytics capabilities provide quantitative insights into maqāmic relationships.

Dataset Generation ​

Export comprehensive datasets for:

  • All maqāmāt in selected tuning systems
  • All possible transpositions
  • Complete modulation networks
  • Ajnās compatibility matrices

Statistical Analysis ​

Correlation Studies:

  • Relationship between tuning system characteristics and transposition possibilities
  • Correlation between transposition availability and modulation networks
  • Impact of starting note conventions on modal accessibility

Pattern Recognition:

  • Systematic modulation structures
  • Transposition frequency patterns
  • Ajnās distribution analysis

Example Research ​

Analyze relationships between:

  • Number of pitch classes and available maqāmāt
  • Starting note convention and transposition possibilities
  • Tuning system complexity and modulation network density

Musicological Research ​

The platform enables systematic analysis of traditional repertoire that would be extremely laborious through manual methods.

Arabic Composition Practice ​

Historical Analysis:

  • Compare modulation pathways in compositions for Um Kulthūm by:
    • Muḥammad ʿAbd al-Wahhāb
    • Riyāḍ Al-Ṣunbāṭī
    • Balīgh Ḥamdī
  • Reveal compositional patterns beyond documented frameworks
  • Identify innovations in modulation practice

Maqām Naming and Classification ​

Theoretical Investigation:

  • Analyze comma-based systems (Al-Ṣabbāgh)
  • Understand relationship between transposition and naming
  • Examine why same pitch classes with different transpositions receive different names
  • Example: Maqām ḥijāz vs. Maqām shad ʿarabān

Arabic Music Pedagogy ​

Tuning and Intonation Analysis:

  • Address contradictory discussions (e.g., Faraj and Shumays 2019)
  • Provide reference to specific Arabic tuning systems
  • Support nuanced discussions beyond binary debates
  • Enable analysis beyond assertions of "arbitrariness"

Machine Learning and AI Applications ​

Training Data ​

  • Ground truth labels: Validated, computationally accessible reference data
  • Structured datasets: Ready for ML model training
  • Provenance: Transparent source attribution
  • Comprehensive coverage: Multiple tuning systems and historical frameworks

Model Development ​

  • Maqām detection: Training data with verified labels
  • Modulation prediction: Network data for sequence modeling
  • Transposition analysis: Pattern recognition datasets
  • Classification: Features based on theoretical structures

Dataset Construction ​

Address limitations in existing research:

  • Documented ground truth methodology
  • Multiple performer/reciter data
  • Historical framework validation
  • Culturally specific feature engineering

Computational Musicology ​

Systematic Analysis ​

  • Network analysis: Modulation pathway structures
  • Graph theory: Relationships between maqāmāt
  • Pattern recognition: Recurring intervallic structures
  • Comparative studies: Cross-cultural modal analysis

Infrastructure for Research ​

Address gaps identified by Gedik and Bozkurt (2009):

  • "Valid pitch-class definitions grounded in culturally-specific frameworks"
  • Computationally accessible theory
  • Verified reference data
  • Transparent methodology

Instrument Design ​

Tuning System Analysis ​

  • Mathematical precision: Exact pitch class values
  • Historical frameworks: Authentic reference data
  • Hardware integration: Scala export for synthesizers
  • Software instruments: Accurate implementation of all intervals

Design Applications ​

  • Digital instrument interfaces
  • Software synthesizer design
  • Hardware controller mapping
  • Pedagogical instrument development

Pedagogical Research ​

Educational Applications ​

  • Interactive learning: Real-time exploration of theory
  • Comparative study: Multiple frameworks simultaneously
  • Visual-auditory integration: See and hear relationships
  • Systematic exploration: Comprehensive coverage

Learning Outcomes ​

  • Understand theoretical evolution
  • Compare historical approaches
  • Hear mathematical relationships
  • Explore beyond simplified models

Academic Citation ​

All data exports include:

  • Complete bibliographic references: Ready for academic citation
  • Source and page numbers: Precise attribution
  • Historical context: Temporal framework
  • Scholarly verification: Enables replication

Next Steps ​

Digital Arabic Maqām Archive Documentation

Copyright © 2025 Music Intelligence Lab