Patent
US 11,250,608Creative GAN Generating Music Deviating from Style Norms
Ahmed Elgammal
US
Copyright © 2026 Matter42. All rights reserved.
Patent
Atlas literature
Patent
US 11,250,608Patent drawings and their descriptions. Click a drawing to enlarge it.
Claims define the patent's legal scope. Independent claims stand alone; dependent claims (nested) narrow them. Click a claim to expand its dependents.
A method for generating music comprising the steps of: a) providing to a computer a set of digitized data characterizing a plurality of existing musical compositions created by human beings, the digitized data including the designation of a style associated with each such existing musical composition, the computer including a memory; b) using the computer to analyze the digitized data and corresponding style designations, including recognition of musical elements in the existing musical compositions, and creating music recognition data associating particular existing musical compositions with particular style designations; c) storing the music recognition data in the memory of the computer, d) providing a music generator to generate a musical composition; e) providing the generated musical composition generated by the music generator to the computer; f) using the computer to compare the generated musical composition to the stored music recognition data; g) based upon such comparison, providing a music index which ranks the generated musical composition along a scale that ranges from including existing musical elements found in existing musical compositions and not including existing musical elements found in existing musical compositions; h) based upon such comparison, providing a novelty index which ranks the generated musical composition along a scale that ranges from being within a style fer associated with existing musical compositions and not being within a style for associated with existing musical compositions; i) modifying the generated musical composition based upon the music index and the novelty index; j) repeating steps e) through i) until the generated musical composition produces a music index indicating that the generated musical composition includes existing musical elements found in existing musical compositions, while also producing a novelty index indicating the generated musical composition is not within a style f ef associated with existing musical compositions. Currently amended
The method recited by claim 1 wherein such method is an iterative enhancement process. Original
The method recited by claim 1 wherein the step of using the computer to analyze the digitized data includes the use of a neural network. Original
The method recited by claim 1 wherein the step of modifying the generated musical composition based upon the music index and the novelty index includes the step of providing the music index and the novelty index to the music generator. Original
The method recited by claim 1 including the additional step of providing a random input vector to the music generator to generate a series of random musical elements. Original
The method recited by claim 1 wherein a musical composition is digitized and encoded using frequency analysis. Currently amended
The method recited by claim 1 wherein a musical composition is digitized and encoded using music transcription methods. Original
The method recited by claim 1 wherein the step of using the computer to compare the generated musical composition to the stored music recognition data includes configuring the computer to provide a discriminator. Original
A computerized system for generating music comprising in combination: a) a computer for receiving a set of digitized data characterizing a plurality of existing musical compositions created by human beings, the digitized data including the designation of a style associated with each such existing musical composition; b) an electronic memory coupled to the computer; c) the computer analyzing the digitized data and corresponding style designations, including recognition of musical elements in the existing musical composition, and creating music recognition data associating particular artistic elements of existing musical compositions with particular style designations for storage in the electronic memory; d) a music generator coupled to the computer for generating a musical composition, and presenting such generated musical composition to the computer; e) the computer comparing the generated musical composition to the stored music recognition data, and the computer providing a music index which ranks the generated musical composition along a scale that ranges from including existing musical elements found in existing musical compositions and not including existing musical elements found in existing musical compositions, the computer also providing a novelty index which ranks the generated musical composition along a scale that ranges from being within a style fer associated with existing musical compositions and not being within a style fer associated with existing musical compositions; f) the music generator receiving information associated with the music index and the novelty index, and being responsive thereto to generate a modified musical composition for presentation to the computer; whereby the music generator repeatedly presents modified musical compositions to the computer until a final modified musical composition presented thereby to the computer produces a music index indicating that the generated musical composition includes existing musical elements found in existing musical compositions, while also producing a novelty index indicating the generated musical composition is not within a style -ef associated with existing musical compositions. Currently amended
The computerized system recited by claim 10 wherein the computer is configured to form a neural network to analyze the digitized data. Original
The computerized system recited by claim 10 further including a random input vector source coupled to the music generator to generate a series of random musical elements. Original
The computerized system recited by claim 10 wherein a musical composition is digitized and encoded by the computer using frequency analysis. Currently amended
The computerized system recited by claim 10 wherein a musical composition is digitized and encoded by the computer using music transcription methods. Original
The computerized system recited by claim 10 wherein the computer is configured to form a discriminator to compare the generated musical composition to the stored music recognition data. Original
A method for generating music comprising the steps of: a) providing to a computer a set of digitized data characterizing a plurality of elements of existing music, the digitized data including the designation of a style associated with each such element of existing music, the computer including a memory; b) using the computer to analyze the digitized data and corresponding style designations, including recognition of elements of existing music, and creating music recognition data associating particular existing music elements with particular style designations; c) storing the music recognition data in the memory of the computer d) providing a music synthesizer to generate music elements; e) providing the generated music elements generated by the music synthesizer to the computer; f) using the computer to compare the generated music elements to the stored music recognition data; g) based upon such comparison, providing a music index which ranks the generated music elements along a scale that ranges from including existing musical elements and not including existing musical elements; h) based upon such comparison, providing a novelty index which ranks the generated music elements along a scale that ranges from being within a style fer associated with existing musical elements and not being within a style fer associated with existing musical elements; i) modifying the generated music elements based upon the music index and the novelty index; j) repeating steps e) through i) until the generated music elements produce a music index indicating that the generated music elements include existing musical elements, while also producing a novelty index indicating the generated music elements are not within a style f 4 associated with existing music elements. Currently amended
The method recited by claim 17 wherein the step of modifying the generated musical composition based upon the music index and the music index and the novelty index to the music
The method recited by claim 17 including the vector to the music synthesizer to generate a series novelty index includes the step of providing the synthesizer. Original additional step of providing a random input of random musical elements. Original
Layer stacks claimed or described, ordered top of device to substrate.
AI music generation method (Creative Adversarial Network)
No layer stack recorded.
Computerized system for generating music (Creative Adversarial Network)
No layer stack recorded.
AI music generation method using music synthesizer (Creative Adversarial Network)
No layer stack recorded.
Patent
Atlas literature
Patent
US 11,250,608Patent drawings and their descriptions. Click a drawing to enlarge it.
Claims define the patent's legal scope. Independent claims stand alone; dependent claims (nested) narrow them. Click a claim to expand its dependents.
A method for generating music comprising the steps of: a) providing to a computer a set of digitized data characterizing a plurality of existing musical compositions created by human beings, the digitized data including the designation of a style associated with each such existing musical composition, the computer including a memory; b) using the computer to analyze the digitized data and corresponding style designations, including recognition of musical elements in the existing musical compositions, and creating music recognition data associating particular existing musical compositions with particular style designations; c) storing the music recognition data in the memory of the computer, d) providing a music generator to generate a musical composition; e) providing the generated musical composition generated by the music generator to the computer; f) using the computer to compare the generated musical composition to the stored music recognition data; g) based upon such comparison, providing a music index which ranks the generated musical composition along a scale that ranges from including existing musical elements found in existing musical compositions and not including existing musical elements found in existing musical compositions; h) based upon such comparison, providing a novelty index which ranks the generated musical composition along a scale that ranges from being within a style fer associated with existing musical compositions and not being within a style for associated with existing musical compositions; i) modifying the generated musical composition based upon the music index and the novelty index; j) repeating steps e) through i) until the generated musical composition produces a music index indicating that the generated musical composition includes existing musical elements found in existing musical compositions, while also producing a novelty index indicating the generated musical composition is not within a style f ef associated with existing musical compositions. Currently amended
The method recited by claim 1 wherein such method is an iterative enhancement process. Original
The method recited by claim 1 wherein the step of using the computer to analyze the digitized data includes the use of a neural network. Original
The method recited by claim 1 wherein the step of modifying the generated musical composition based upon the music index and the novelty index includes the step of providing the music index and the novelty index to the music generator. Original
The method recited by claim 1 including the additional step of providing a random input vector to the music generator to generate a series of random musical elements. Original
The method recited by claim 1 wherein a musical composition is digitized and encoded using frequency analysis. Currently amended
The method recited by claim 1 wherein a musical composition is digitized and encoded using music transcription methods. Original
The method recited by claim 1 wherein the step of using the computer to compare the generated musical composition to the stored music recognition data includes configuring the computer to provide a discriminator. Original
A computerized system for generating music comprising in combination: a) a computer for receiving a set of digitized data characterizing a plurality of existing musical compositions created by human beings, the digitized data including the designation of a style associated with each such existing musical composition; b) an electronic memory coupled to the computer; c) the computer analyzing the digitized data and corresponding style designations, including recognition of musical elements in the existing musical composition, and creating music recognition data associating particular artistic elements of existing musical compositions with particular style designations for storage in the electronic memory; d) a music generator coupled to the computer for generating a musical composition, and presenting such generated musical composition to the computer; e) the computer comparing the generated musical composition to the stored music recognition data, and the computer providing a music index which ranks the generated musical composition along a scale that ranges from including existing musical elements found in existing musical compositions and not including existing musical elements found in existing musical compositions, the computer also providing a novelty index which ranks the generated musical composition along a scale that ranges from being within a style fer associated with existing musical compositions and not being within a style fer associated with existing musical compositions; f) the music generator receiving information associated with the music index and the novelty index, and being responsive thereto to generate a modified musical composition for presentation to the computer; whereby the music generator repeatedly presents modified musical compositions to the computer until a final modified musical composition presented thereby to the computer produces a music index indicating that the generated musical composition includes existing musical elements found in existing musical compositions, while also producing a novelty index indicating the generated musical composition is not within a style -ef associated with existing musical compositions. Currently amended
The computerized system recited by claim 10 wherein the computer is configured to form a neural network to analyze the digitized data. Original
The computerized system recited by claim 10 further including a random input vector source coupled to the music generator to generate a series of random musical elements. Original
The computerized system recited by claim 10 wherein a musical composition is digitized and encoded by the computer using frequency analysis. Currently amended
The computerized system recited by claim 10 wherein a musical composition is digitized and encoded by the computer using music transcription methods. Original
The computerized system recited by claim 10 wherein the computer is configured to form a discriminator to compare the generated musical composition to the stored music recognition data. Original
A method for generating music comprising the steps of: a) providing to a computer a set of digitized data characterizing a plurality of elements of existing music, the digitized data including the designation of a style associated with each such element of existing music, the computer including a memory; b) using the computer to analyze the digitized data and corresponding style designations, including recognition of elements of existing music, and creating music recognition data associating particular existing music elements with particular style designations; c) storing the music recognition data in the memory of the computer d) providing a music synthesizer to generate music elements; e) providing the generated music elements generated by the music synthesizer to the computer; f) using the computer to compare the generated music elements to the stored music recognition data; g) based upon such comparison, providing a music index which ranks the generated music elements along a scale that ranges from including existing musical elements and not including existing musical elements; h) based upon such comparison, providing a novelty index which ranks the generated music elements along a scale that ranges from being within a style fer associated with existing musical elements and not being within a style fer associated with existing musical elements; i) modifying the generated music elements based upon the music index and the novelty index; j) repeating steps e) through i) until the generated music elements produce a music index indicating that the generated music elements include existing musical elements, while also producing a novelty index indicating the generated music elements are not within a style f 4 associated with existing music elements. Currently amended
The method recited by claim 17 wherein the step of modifying the generated musical composition based upon the music index and the music index and the novelty index to the music
The method recited by claim 17 including the vector to the music synthesizer to generate a series novelty index includes the step of providing the synthesizer. Original additional step of providing a random input of random musical elements. Original
Layer stacks claimed or described, ordered top of device to substrate.
AI music generation method (Creative Adversarial Network)
No layer stack recorded.
Computerized system for generating music (Creative Adversarial Network)
No layer stack recorded.
AI music generation method using music synthesizer (Creative Adversarial Network)
No layer stack recorded.
Patent
Atlas literature
Patent
US 11,250,608Patent drawings and their descriptions. Click a drawing to enlarge it.
Claims define the patent's legal scope. Independent claims stand alone; dependent claims (nested) narrow them. Click a claim to expand its dependents.
A method for generating music comprising the steps of: a) providing to a computer a set of digitized data characterizing a plurality of existing musical compositions created by human beings, the digitized data including the designation of a style associated with each such existing musical composition, the computer including a memory; b) using the computer to analyze the digitized data and corresponding style designations, including recognition of musical elements in the existing musical compositions, and creating music recognition data associating particular existing musical compositions with particular style designations; c) storing the music recognition data in the memory of the computer, d) providing a music generator to generate a musical composition; e) providing the generated musical composition generated by the music generator to the computer; f) using the computer to compare the generated musical composition to the stored music recognition data; g) based upon such comparison, providing a music index which ranks the generated musical composition along a scale that ranges from including existing musical elements found in existing musical compositions and not including existing musical elements found in existing musical compositions; h) based upon such comparison, providing a novelty index which ranks the generated musical composition along a scale that ranges from being within a style fer associated with existing musical compositions and not being within a style for associated with existing musical compositions; i) modifying the generated musical composition based upon the music index and the novelty index; j) repeating steps e) through i) until the generated musical composition produces a music index indicating that the generated musical composition includes existing musical elements found in existing musical compositions, while also producing a novelty index indicating the generated musical composition is not within a style f ef associated with existing musical compositions. Currently amended
The method recited by claim 1 wherein such method is an iterative enhancement process. Original
The method recited by claim 1 wherein the step of using the computer to analyze the digitized data includes the use of a neural network. Original
The method recited by claim 1 wherein the step of modifying the generated musical composition based upon the music index and the novelty index includes the step of providing the music index and the novelty index to the music generator. Original
The method recited by claim 1 including the additional step of providing a random input vector to the music generator to generate a series of random musical elements. Original
The method recited by claim 1 wherein a musical composition is digitized and encoded using frequency analysis. Currently amended
The method recited by claim 1 wherein a musical composition is digitized and encoded using music transcription methods. Original
The method recited by claim 1 wherein the step of using the computer to compare the generated musical composition to the stored music recognition data includes configuring the computer to provide a discriminator. Original
A computerized system for generating music comprising in combination: a) a computer for receiving a set of digitized data characterizing a plurality of existing musical compositions created by human beings, the digitized data including the designation of a style associated with each such existing musical composition; b) an electronic memory coupled to the computer; c) the computer analyzing the digitized data and corresponding style designations, including recognition of musical elements in the existing musical composition, and creating music recognition data associating particular artistic elements of existing musical compositions with particular style designations for storage in the electronic memory; d) a music generator coupled to the computer for generating a musical composition, and presenting such generated musical composition to the computer; e) the computer comparing the generated musical composition to the stored music recognition data, and the computer providing a music index which ranks the generated musical composition along a scale that ranges from including existing musical elements found in existing musical compositions and not including existing musical elements found in existing musical compositions, the computer also providing a novelty index which ranks the generated musical composition along a scale that ranges from being within a style fer associated with existing musical compositions and not being within a style fer associated with existing musical compositions; f) the music generator receiving information associated with the music index and the novelty index, and being responsive thereto to generate a modified musical composition for presentation to the computer; whereby the music generator repeatedly presents modified musical compositions to the computer until a final modified musical composition presented thereby to the computer produces a music index indicating that the generated musical composition includes existing musical elements found in existing musical compositions, while also producing a novelty index indicating the generated musical composition is not within a style -ef associated with existing musical compositions. Currently amended
The computerized system recited by claim 10 wherein the computer is configured to form a neural network to analyze the digitized data. Original
The computerized system recited by claim 10 further including a random input vector source coupled to the music generator to generate a series of random musical elements. Original
The computerized system recited by claim 10 wherein a musical composition is digitized and encoded by the computer using frequency analysis. Currently amended
The computerized system recited by claim 10 wherein a musical composition is digitized and encoded by the computer using music transcription methods. Original
The computerized system recited by claim 10 wherein the computer is configured to form a discriminator to compare the generated musical composition to the stored music recognition data. Original
A method for generating music comprising the steps of: a) providing to a computer a set of digitized data characterizing a plurality of elements of existing music, the digitized data including the designation of a style associated with each such element of existing music, the computer including a memory; b) using the computer to analyze the digitized data and corresponding style designations, including recognition of elements of existing music, and creating music recognition data associating particular existing music elements with particular style designations; c) storing the music recognition data in the memory of the computer d) providing a music synthesizer to generate music elements; e) providing the generated music elements generated by the music synthesizer to the computer; f) using the computer to compare the generated music elements to the stored music recognition data; g) based upon such comparison, providing a music index which ranks the generated music elements along a scale that ranges from including existing musical elements and not including existing musical elements; h) based upon such comparison, providing a novelty index which ranks the generated music elements along a scale that ranges from being within a style fer associated with existing musical elements and not being within a style fer associated with existing musical elements; i) modifying the generated music elements based upon the music index and the novelty index; j) repeating steps e) through i) until the generated music elements produce a music index indicating that the generated music elements include existing musical elements, while also producing a novelty index indicating the generated music elements are not within a style f 4 associated with existing music elements. Currently amended
The method recited by claim 17 wherein the step of modifying the generated musical composition based upon the music index and the music index and the novelty index to the music
The method recited by claim 17 including the vector to the music synthesizer to generate a series novelty index includes the step of providing the synthesizer. Original additional step of providing a random input of random musical elements. Original
Layer stacks claimed or described, ordered top of device to substrate.
AI music generation method (Creative Adversarial Network)
No layer stack recorded.
Computerized system for generating music (Creative Adversarial Network)
No layer stack recorded.
AI music generation method using music synthesizer (Creative Adversarial Network)
No layer stack recorded.
Patent
Atlas literature
Patent
US 11,250,608Patent drawings and their descriptions. Click a drawing to enlarge it.
Claims define the patent's legal scope. Independent claims stand alone; dependent claims (nested) narrow them. Click a claim to expand its dependents.
A method for generating music comprising the steps of: a) providing to a computer a set of digitized data characterizing a plurality of existing musical compositions created by human beings, the digitized data including the designation of a style associated with each such existing musical composition, the computer including a memory; b) using the computer to analyze the digitized data and corresponding style designations, including recognition of musical elements in the existing musical compositions, and creating music recognition data associating particular existing musical compositions with particular style designations; c) storing the music recognition data in the memory of the computer, d) providing a music generator to generate a musical composition; e) providing the generated musical composition generated by the music generator to the computer; f) using the computer to compare the generated musical composition to the stored music recognition data; g) based upon such comparison, providing a music index which ranks the generated musical composition along a scale that ranges from including existing musical elements found in existing musical compositions and not including existing musical elements found in existing musical compositions; h) based upon such comparison, providing a novelty index which ranks the generated musical composition along a scale that ranges from being within a style fer associated with existing musical compositions and not being within a style for associated with existing musical compositions; i) modifying the generated musical composition based upon the music index and the novelty index; j) repeating steps e) through i) until the generated musical composition produces a music index indicating that the generated musical composition includes existing musical elements found in existing musical compositions, while also producing a novelty index indicating the generated musical composition is not within a style f ef associated with existing musical compositions. Currently amended
The method recited by claim 1 wherein such method is an iterative enhancement process. Original
The method recited by claim 1 wherein the step of using the computer to analyze the digitized data includes the use of a neural network. Original
The method recited by claim 1 wherein the step of modifying the generated musical composition based upon the music index and the novelty index includes the step of providing the music index and the novelty index to the music generator. Original
The method recited by claim 1 including the additional step of providing a random input vector to the music generator to generate a series of random musical elements. Original
The method recited by claim 1 wherein a musical composition is digitized and encoded using frequency analysis. Currently amended
The method recited by claim 1 wherein a musical composition is digitized and encoded using music transcription methods. Original
The method recited by claim 1 wherein the step of using the computer to compare the generated musical composition to the stored music recognition data includes configuring the computer to provide a discriminator. Original
A computerized system for generating music comprising in combination: a) a computer for receiving a set of digitized data characterizing a plurality of existing musical compositions created by human beings, the digitized data including the designation of a style associated with each such existing musical composition; b) an electronic memory coupled to the computer; c) the computer analyzing the digitized data and corresponding style designations, including recognition of musical elements in the existing musical composition, and creating music recognition data associating particular artistic elements of existing musical compositions with particular style designations for storage in the electronic memory; d) a music generator coupled to the computer for generating a musical composition, and presenting such generated musical composition to the computer; e) the computer comparing the generated musical composition to the stored music recognition data, and the computer providing a music index which ranks the generated musical composition along a scale that ranges from including existing musical elements found in existing musical compositions and not including existing musical elements found in existing musical compositions, the computer also providing a novelty index which ranks the generated musical composition along a scale that ranges from being within a style fer associated with existing musical compositions and not being within a style fer associated with existing musical compositions; f) the music generator receiving information associated with the music index and the novelty index, and being responsive thereto to generate a modified musical composition for presentation to the computer; whereby the music generator repeatedly presents modified musical compositions to the computer until a final modified musical composition presented thereby to the computer produces a music index indicating that the generated musical composition includes existing musical elements found in existing musical compositions, while also producing a novelty index indicating the generated musical composition is not within a style -ef associated with existing musical compositions. Currently amended
The computerized system recited by claim 10 wherein the computer is configured to form a neural network to analyze the digitized data. Original
The computerized system recited by claim 10 further including a random input vector source coupled to the music generator to generate a series of random musical elements. Original
The computerized system recited by claim 10 wherein a musical composition is digitized and encoded by the computer using frequency analysis. Currently amended
The computerized system recited by claim 10 wherein a musical composition is digitized and encoded by the computer using music transcription methods. Original
The computerized system recited by claim 10 wherein the computer is configured to form a discriminator to compare the generated musical composition to the stored music recognition data. Original
A method for generating music comprising the steps of: a) providing to a computer a set of digitized data characterizing a plurality of elements of existing music, the digitized data including the designation of a style associated with each such element of existing music, the computer including a memory; b) using the computer to analyze the digitized data and corresponding style designations, including recognition of elements of existing music, and creating music recognition data associating particular existing music elements with particular style designations; c) storing the music recognition data in the memory of the computer d) providing a music synthesizer to generate music elements; e) providing the generated music elements generated by the music synthesizer to the computer; f) using the computer to compare the generated music elements to the stored music recognition data; g) based upon such comparison, providing a music index which ranks the generated music elements along a scale that ranges from including existing musical elements and not including existing musical elements; h) based upon such comparison, providing a novelty index which ranks the generated music elements along a scale that ranges from being within a style fer associated with existing musical elements and not being within a style fer associated with existing musical elements; i) modifying the generated music elements based upon the music index and the novelty index; j) repeating steps e) through i) until the generated music elements produce a music index indicating that the generated music elements include existing musical elements, while also producing a novelty index indicating the generated music elements are not within a style f 4 associated with existing music elements. Currently amended
The method recited by claim 17 wherein the step of modifying the generated musical composition based upon the music index and the music index and the novelty index to the music
The method recited by claim 17 including the vector to the music synthesizer to generate a series novelty index includes the step of providing the synthesizer. Original additional step of providing a random input of random musical elements. Original
Layer stacks claimed or described, ordered top of device to substrate.
AI music generation method (Creative Adversarial Network)
No layer stack recorded.
Computerized system for generating music (Creative Adversarial Network)
No layer stack recorded.
AI music generation method using music synthesizer (Creative Adversarial Network)
No layer stack recorded.