Carrying the Echo of the Past into the Future
Azerbaijani Mugham is not merely a musical genre; it is a living organism that encapsulates the spiritual codes, philosophical thought, and millennial history of our people. However, the most precious examples of this rich heritage from the 19th and early 20th centuries are currently hidden beneath the crackles of obsolete shellac records. These recordings hold the voices of masters like Jabbar Garyagdioghlu, Kechechioghlu Mahammad, and Malibeyli Hamid, but over time, the micro-intervals (commas)—the very soul of mugham—have been distorted. Modern technology, specifically Artificial Intelligence (AI), enters at this juncture to offer unique opportunities for reconstructing the lost soundscapes of mugham.
The Philosophy of Micro-intervals and Technical Challenges
Each mode of Mugham—be it the cheerful Rast, the lyrical Shur, or the romantic Segah—is based on much finer sound divisions than the 12 semitones of the standard Western musical system. These micro-intervals express the emotional state of the performer and the philosophical depth of the mugham. However, the technical capabilities of the early 1900s could not capture these nuances in their full capacity. Surface noise and pitch instability on old shellac discs have altered the frequencies (Hz) of these intervals, making them unrecognizable.
Predictive Modeling with AI
Modern researchers are using predictive modeling to restore these fragments preserved in the "Golden Fund" (Qızıl Fond). How does this process work? AI algorithms first analyze the performances of contemporary masters (such as Alim Qasimov or Aghakhan Abdullayev) to create a mathematical model of each mugham mode. For instance, the exact frequency of that specific minor second interval that creates the melancholic spirit in Bayati-Shiraz is identified. Then, the AI compares this data with the scratchy 19th-century records. The algorithm finds the harmonic structure beneath the noise and "predicts" the missing frequencies through predictive reconstruction.
The Acoustic Legacy of Tar and Kamancha
In this restoration process, it is not just the singer's voice that matters, but also the role of accompanying instruments like the Tar and Kamancha. The fret arrangement of the 11-stringed Tar has changed historically. By analyzing the fret vibrations of the Tar in old recordings, AI reveals how the instrument was tuned during that period and which micro-tones were utilized. This helps in restoring the heroic spirit of Chahargah or the deep philosophical sorrow of Humayun to their original forms.
A Vision for the Future
This technology does not just restore the past; it serves as a school for young mugham performers. By hearing the original sound of the forgotten mournfulness in Shushtar, the younger generation gains a deeper understanding of mugham's genetic memory. This synthesis of AI and musicology immortalizes Azerbaijan's ancient musical heritage in the digital age. We are no longer just listening to fragments; we are hearing the voice of history itself—pure and untouched.