Nhận biết (M1)

Text 1

Attempts to automate classification of music into genres have not been very successful. It is also unclear whether categorizing music by genre is useful, since genre categories are ambiguous, subjective, and simplistic. As Jin Ha Lee and Anh Thu Nguyen argue in their study of the South Korean band BTS, relationships between pieces of music may be best understood with concepts other than genre.

Text 2

Tango is a genre of music originally from Argentina and Uruguay that shares some harmonic and rhythmic similarities with the pagode genre. Automated genre classification systems typically struggle to draw distinctions in situations like this, but Yandre Costa and colleagues solved that problem by converting sound to images and having computers compare features of those images. Their approach could improve genre classification, which could have many benefits for users.

Based on the texts, how would the author of Text 1 most likely respond to the claim about the potential benefits of Costa and colleagues' research in Text 2?

• A.

  By arguing that some genres are more easily recognized by classification systems than others.

• B.

  By emphasizing that humans do not necessarily enjoy every recording in a genre they claim to prefer.

• C.

  By asserting that genre classifications may not be the most helpful way to think about music.

• D.

  By suggesting that future research may provide substantial advancements in the field of automated genre classification.