AI and Classical Music: A New Way to Create Orchestral Sound

Recently, Timothee Chalamet proclaimed that opera and ballet are dying fields of art, casting a shadow over classical music as a whole. Like most music lovers of a wide variety of styles, we'd push back on that, because Rosalía's performance of Berghain alone is argument enough: the composition combined opera, classical music, pop and techno. So the demand for classical music exists, but it is going through a certain rebirth. Is there a place for AI generation in it? Definitely. Today we will try to figure out exactly where it can be used effectively.

Integrating classics with AI

Classical music is probably the most complex both for the listener's perception and for writing. A large number of different instruments requires a detailed immersion in the rules of classical music, perhaps even revisiting the solfège classes most people tried to forget. We understand well that all of this stands in the way of creating quality musical material, because not everyone has the time, energy and endurance to complete the entire conservatory course when life around is full of events. We sincerely believe that the idea and desire should precede all rules, so Songer can simplify your life. AI classical music generators use algorithms and machine learning models to write, arrange and compose orchestral music.

A lot has happened recently in the world of AI and classical music. New systems have appeared that are capable of completing a composer's unfinished work without sacrificing quality and staying true to the author's style. For example, Beethoven's Symphony No. 10, which he worked on until his death and from which only sketches remained, was reconstructed using AI and performed by a live orchestra. The result was controversial, but the very fact that artificial intelligence is capable of generating music at the level of world maestros is truly significant.

What is AI orchestration

In classical music, orchestration is the artistic component of distributing musical material among different instruments. In short: a composer writes a melody and only later decides who plays what and when. The same melody can sound completely different depending on that decision. For example, Ravel took Mussorgsky's simple piano piece "Pictures at an Exhibition" and turned it into an entire orchestral canvas: each picture received its own "color" through the choice of instruments.

An orchestra is traditionally divided into four groups:

• Strings — the foundation, the "backbone" of the orchestra (violins, violas, cellos, double basses)

• Woodwinds — flexibility and "human" timbre (flute, oboe, clarinet, bassoon)

• Brass — strength, solemnity, drama (horn, trumpet, trombone, tuba)

• Percussion — rhythm, accent, atmosphere (timpani, cymbals, etc.)

Modern AI models are trained on a library containing hundreds of complex scores, which is exactly what allows artificial intelligence to distribute instruments in such a way that the brass does not drown out the woodwinds, and the percussion remains a rhythmic anchor for the composition.

AI classical music generators use algorithms and machine learning models to understand exactly how certain instruments can be combined effectively. So now a person who has never written a single bar for strings can describe a mood, set a tempo, choose an instrumentation, and hear a finished symphony come back. Of course, this cannot replace a classical education for those who want to become a serious composer, but it opens doors to the world of classical music for everyone who wanted to explore this genre and didn't know where to start.

Songer and classical music

Songer, an AI music generation platform, supports the classical genre alongside dozens of other styles. You can describe what you want to hear: chamber music, a symphonic fragment, a piano miniature — and the system will generate a track that matches the mood and structure of a classical composition. This is especially useful for content creators who need original classical music for videos or podcasts, for people who want to hear their own idea in orchestral sound, and for those who simply want to explore what this genre sounds like from the inside. You can try it for free at songer.co — no subscription and no musical education required.