After years of research, the WaveAI team is excited to share ALYSIA with the world. The inspiration for ALYSIA was two-fold; to explore the limits of artificial intelligence, and, on a more personal level, to help me achieve a lifelong dream of creating original songs. Soon after ALYSIA was developed, we began to hear from musicians and poets all over the world eager to apply ALYSIA to their music. That's when we realized that we cannot keep ALYSIA all to ourselves, and embarked on the exciting journey of making our AI publicly accessible. I would like to sincerely thank all of our beta users for their invaluable feedback.

A San Jose State University professor has developed an artificial intelligence-based system designed to assist musicians in songwriting. San Jose State University professor Margareta Ackerman has developed the Automated LYrical SongwrIting Application (ALYSIA), an artificial intelligence-based system designed to assist musicians in songwriting. By feeding ALYSIA lyrics one sentence at a time, the system constructs a predictive model so it can generate multiple melodic suggestions played back on a computerized piano and written out in musical notation. In addition, ALYSIA ranks these melody choices according to what it thinks best, with highly repetitive melodies often penalized. Ackerman says ALYSIA is unique in its natural-language processing ability, which enables it to learn how words and syllables, and melodies and individual notes, relate to each other.

A machine learning system turns poetry into song by composing a pop music score to suit the lyrics it's given. "I was studying singing while I was doing my PhD in computer science," says Margareta Ackerman at San Jose State University in California, who developed the system with David Loker at technology advisory firm Orbitwerks. "Over time, I started to think of computers as creative partners instead of tools, which could maybe help me write songs." The system, called ALYSIA, processes short lines of text and associates each syllable with a musical note. It chooses the pairing based on features including the syllable's position in the word and how it will fit with the previous five notes.