Researchers at Deezer have developed an AI system capable of associating certain songs with moods and intensities, as spotted by VentureBeat. The work is described in a newly published paper on Arxiv.org titled “Music Mood Detection Based on Audio Lyrics With Deep Neural Nets.“
To determine a song’s musical mood, the team considered both the audio signal and the lyrics. To start, they fed audio signals into a neural network, along with models that reconstruct the linguistic contexts of words. Then, to teach it how to determine the mood of a song, they used the Million Song Dataset (MSD), which is a collection of metadata for over 1 million contemporary songs. In particular, they used Last.fm’s dataset, which assigns identifiers to tracks...
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