While researching a topic, a student has taken the following notes:
The Million Song Dataset (MSD) includes main audio features and
descriptive tags for popular songs.
• Audio features include acoustic traits such as loudness and pitch
intervals.
Many algorithms use these audio features to predict a new song's
popularity.
⚫ These algorithms may fail to accurately identify main audio features of
a song with varying acoustic traits.
•
Algorithms based on descriptive tags that describe fixed traits such as
genre are more reliable predictors of song popularity.
The student wants to explain a disadvantage of relying on audio features to
predict a song's popularity. Which choice most effectively uses relevant
information from the notes to accomplish this goal?
Choose 1 answer:
A. algorithms, based on audio features, may miss identify the main features of a song with varying acoustic traits, making such algorithms, less reliable predictors of popularity than those based on fixed traits
B. The MSD’s descriptive tags are reliable, predictors of a popularity as the traits they described are fixed.
C. Features describe acoustic traits, such as pitch intervals, which may vary within a song where, as descriptive tags describe traits, such as genre, which are reliable, predictors of popularity.
D. popularity, predicting algorithms are based on a audio features, such as loudness and pitch intervals