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Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.
Sonic Visualiser represents acoustic features of the audio file either as a waveform or as a spectrogram. [4] A spectrogram is a heatmap, where the horizontal axis represents time, the vertical axis represents frequency, and the colors show presence of frequencies.
This process involves several audio analysis tasks, which may include multi-pitch detection, onset detection, duration estimation, instrument identification, and the extraction of harmonic, rhythmic or melodic information. This task becomes more difficult with greater numbers of instruments and a greater polyphony level.
A more nascent development of AI in music is the application of audio deepfakes to cast the lyrics or musical style of a pre-existing song to the voice or style of another artist. This has raised many concerns regarding the legality of technology, as well as the ethics of employing it, particularly in the context of artistic identity. [ 61 ]
Shazam is an application that can identify music based on a short sample played using the microphone on the device. [2] It was created by the British company Shazam Entertainment, based in London, and has been owned by Apple since 2018.
(a) Musical score of a C-major scale. (b) Chromagram obtained from the score. (c) Audio recording of the C-major scale played on a piano. (d) Chromagram obtained from the audio recording. In Western music, the term chroma feature or chromagram closely relates to twelve different pitch classes.
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Most audio compression techniques will make radical changes to the binary encoding of an audio file, without radically affecting the way it is perceived by the human ear. A robust acoustic fingerprint will allow a recording to be identified after it has gone through such compression, even if the audio quality has been reduced significantly.
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