Motif (music)In music, a motif IPA: (/moʊˈtiːf/) (also motive) is a short musical idea, a salient recurring figure, musical fragment or succession of notes that has some special importance in or is characteristic of a composition. The motif is the smallest structural unit possessing thematic identity. The Encyclopédie de la Pléiade regards it as a "melodic, rhythmic, or harmonic cell", whereas the 1958 Encyclopédie Fasquelle maintains that it may contain one or more cells, though it remains the smallest analyzable element or phrase within a subject.
Women in musicWomen in music include women as composers, songwriters, instrumental performers, singers, conductors, music scholars, music educators, music critics/music journalists, and in other musical professions. Also, it describes music movements (e.g., women's music, which is music written and performed by women for women), events and genres related to women, women's issues, and feminism.
Neuroscience of musicThe neuroscience of music is the scientific study of brain-based mechanisms involved in the cognitive processes underlying music. These behaviours include music listening, performing, composing, reading, writing, and ancillary activities. It also is increasingly concerned with the brain basis for musical aesthetics and musical emotion. Scientists working in this field may have training in cognitive neuroscience, neurology, neuroanatomy, psychology, music theory, computer science, and other relevant fields.
Large language modelA large language model (LLM) is a language model characterized by its large size. Their size is enabled by AI accelerators, which are able to process vast amounts of text data, mostly scraped from the Internet. The artificial neural networks which are built can contain from tens of millions and up to billions of weights and are (pre-)trained using self-supervised learning and semi-supervised learning. Transformer architecture contributed to faster training.
ChoreomusicologyChoreomusicology is a portmanteau word joining the words choreology and musicology. As a discipline, choreomusicology emerged at the end of the twentieth century as a field of study concerned with the relationship between music and dance. More precisely, choreomusicology grew out of Euro-American performance traditions that considered musical composition and dance choreography as separate specialties. Not all performance genres separate music and dance into separate theoretical categories.
Corpus linguisticsCorpus linguistics is the study of a language as that language is expressed in its text corpus (plural corpora), its body of "real world" text. Corpus linguistics proposes that a reliable analysis of a language is more feasible with corpora collected in the field—the natural context ("realia") of that language—with minimal experimental interference. The text-corpus method uses the body of texts written in any natural language to derive the set of abstract rules which govern that language.
Artificial neural networkArtificial neural networks (ANNs, also shortened to neural networks (NNs) or neural nets) are a branch of machine learning models that are built using principles of neuronal organization discovered by connectionism in the biological neural networks constituting animal brains. An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal to other neurons.
Album eraThe album era was a period in English-language popular music from the mid-1960s to the mid-2000s in which the album was the dominant form of recorded music expression and consumption. It was primarily driven by three successive music recording formats: the 331⁄3 rpm long-playing record (LP), the cassette tape, and the compact disc (CD). Rock musicians from the US and the UK were often at the forefront of the era, which is sometimes called the album-rock era in reference to their sphere of influence and activity.
Deep learningDeep learning is part of a broader family of machine learning methods, which is based on artificial neural networks with representation learning. The adjective "deep" in deep learning refers to the use of multiple layers in the network. Methods used can be either supervised, semi-supervised or unsupervised.
Cognitive musicologyCognitive musicology is a branch of cognitive science concerned with computationally modeling musical knowledge with the goal of understanding both music and cognition. Cognitive musicology can be differentiated from other branches of music psychology via its methodological emphasis, using computer modeling to study music-related knowledge representation with roots in artificial intelligence and cognitive science. The use of computer models provides an exacting, interactive medium in which to formulate and test theories.
