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Semantic Scholar. Semantic Scholar is a research tool for scientific literature powered by artificial intelligence. It is developed at the Allen Institute for AI and was publicly released in November 2015. [ 2] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing ...
e. Music and artificial intelligence (AI) is the development of music software programs which use AI to generate music. [ 1] As with applications in other fields, AI in music also simulates mental tasks. A prominent feature is the capability of an AI algorithm to learn based on past data, such as in computer accompaniment technology, wherein ...
The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is available.
Semantic analysis of audio is performed to reveal some deeper understanding of an audio signal. This typically results in high-level metadata descriptors such as musical chords and tempo, or the identification of the individual speaking, to facilitate content-based management of audio recordings. In recent years, the growth of automatic data ...
Sound and music computing. Sound and music computing ( SMC) is a research field that studies the whole sound and music communication chain from a multidisciplinary point of view. By combining scientific, technological and artistic methodologies it aims at understanding, modeling and generating sound and music through computational approaches.
He recounted walking into music mogul L.A. Reid's office at 12 or 13 years old and telling a room full of executives that he'd make it. “That wasn't ego speaking. “That wasn't ego speaking.
Musical semantics. Music semantics refers to the ability of music to convey semantic meaning. Semantics are a key feature of language, and whether music shares some of the same ability to prime and convey meaning has been the subject of recent study. [1]
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition ( ASR ), computer speech recognition or speech-to-text ( STT ).
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