A terminal for generating music may identify, based on execution of scenario recognition, scenarios for images previously received by the terminal. The terminal may generate respective description texts for the scenarios. The terminal may execute keyword-based rhyme matching based on the respective description texts. The terminal may generate respective rhyming lyrics corresponding to the images. The terminal may convert the respective rhyming lyrics corresponding to the images into a speech. The terminal may synthesize the speech with preset background music to obtain image music.

An environment awareness system includes a memory and first and second modules. The memory is configured to store environmental data, one or more music composition templates, and one or more maps, where the environmental data is indicative of at least one of a state, condition, or change in an environment in which the environment awareness system is located. The first module is configured to receive and store the environmental data in the memory. The second module is configured to: based on the one or more music composition templates and the one or more maps, convert the environmental data to a music signal including modifying variables in the one or more music composition templates based on the environmental data; and based on the music signal, play out a musical composition via an audio system to audibly indicate the at least one of the state, condition, or change in the environment.

The present systems, devices, and methods generally relate to generating families of symbol sequences with controllable degree of correlation within and between them using quantum computers, and particularly to the exploitation of this capability to generate families of symbol sequences representing musical events such as, but not limited to, musical notes, musical chords, musical percussion strikes, musical time intervals, musical note intervals, and musical key changes that comprise a musical composition. Quantum random walks on graphs representing allowed transitions between musical events are also employed in some implementations.

Techniques are disclosed relating to automatically generating new music content based on image representations of audio files. A music generation system includes a music generation subsystem and a music classification subsystem. The music generation subsystem may generate output music content according to music parameters that define policy for generating music. The classification subsystem may be used to classify whether music is generated by the music generation subsystem or is professionally produced music content. The music generation subsystem may implement an algorithm that is reinforced by prediction output from the music classification subsystem. Reinforcement may include tuning the music parameters to generate more human-like music content.

Methods, systems, and apparatus, including medium-encoded computer program products, for receiving outputs from a plurality of models that are each informed by real-time data provided by one or more sensors that are present in an aquaculture environment. An input is generated for an algorithmic music composer for algorithmically composing music that reflects multiple current conditions within the aquaculture environment, based at least on the received outputs from the plurality of models. The input is provided to the algorithmic music composer to algorithmically compose the music that reflects the multiple current conditions within the aquaculture environment.

Systems and methods for automated music generation are provided. An example method includes receiving, from a user, a user input including at least one of configuration settings and a musical audio input in the form of audio files or an audio recording; selecting, based on the user input and from a plurality of predetermined musical development scenarios, a musical development scenario including a chronologically ordered sequence of set settings; selecting, based on the musical development scenario, from a plurality of event probability scenarios, an event probability scenario defining a probability of a music element creation event; selecting a plurality of sets of audio elements from a plurality of pre-composed audio elements based on the musical development scenario, the user input, the event probability scenario, and predetermined music theory rules; and synthesizing the plurality of sets of audio elements to generate an audio output for providing to the user.

Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to a Lyric Engine. In various embodiments, the Lyric Engine receives, at a user interface, a selection of at least one song criteria. The Lyric Engine receives a first set of suggested song lyrics that correspond to the selected song criteria. The Lyric Engine presents, in the user interface, the first set of suggested song lyrics. The Lyric Engine receives, at the user interface, a selection of one or more of the suggested song lyrics in the first set. The Lyric Engine receives a second set of suggested song lyrics that correspond to the selected song criteria and the selected song lyrics. The Lyric Engine concurrently presents, in the user interface, the selected song lyrics and the second set of suggested song lyrics.

The subject matter discloses a system implemented on in a mobile electronic device, the system comprising a processing system of the device; and a memory that contains instructions comprising: detecting ambient sounds in the vicinity of the mobile electronic device; determining at least one property selected from a group consisting of a relative direction and relative distance of the ambient sounds relative to the mobile electronic device; analyzing the detected ambient sounds; outputting audio Interactive Music data based on the analysis of the ambient sounds and based on at least one of a relative direction and relative distance of the ambient sounds relative to the mobile electronic device; wherein said outputting is performed on the mobile electronic device.

According to an embodiment, there is provided a system and method for automatically generating a complete music work from a partially completed work provided by a user. One approach uses an artificial intelligence (AI) engine that is trained by creating incomplete works from a database of complete works and then instructing the AI to complete the incomplete works. A comparison is made between the completed works and the originals to determine the effectiveness of the training process. After the AI is trained, it is applied to the user's incomplete work to produce a final music item.

Computer-based systems, devices, and methods for automatically generating aesthetic chord progressions and key modulations in musical compositions are described. Known harmonic relationships are expanded upon to produce a much richer set of harmonic transition probability models compared to conventional music theory, and these models are leveraged by a computer-based musical composition system to generate new musical compositions and variations of existing musical compositions. Techniques for enabling a computer-based musical composition system to automatically determine when to introduce a key modulation, what key to module to, and what chord progression(s) to use within the new key are all described.