Quiz buy xaaj genre musical

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

1. Luy mel-spectrogram, ñu koy faral di jëfandikoo ngir dugal ci reso neuronal yiy xaaj genre yi?
   • Nataalu fréquence audio buy jëfandikoo eskaalu ton perceptuel
   • Limu kàdduy way yuñ soppi def ko ay nimero
   • Formu vague buy wane amplitude bu ñor ci diir bi kese
   • Base de done yu turu artist yi ak at yi ñu ko génnee
2. Ban setu done bu yàgg moo am 1000 clip fan weeri simili ci 10 genre?
   • Nataal Net
   • GTZAN
   • Kaddu Libri
   • COCO
3. Lan moo waral xaaj genre bu jaar yoon lu jafe la?
   • Ordinatër yi mënu ñu def audio
   • Way yépp dañuy nuru algorithm yi
   • Fàggu genre yi dañu jaxasoo te dañu aju ci cosaan ak aada
   • Fichier audio yi dañu tuuti lool ngir ñu jàngat leen
4. Ban màndarga art lañu daan jëfandikoo bu bari ci sistemu xaaj genre yu njëkk ya?
   • Rasio kompresioŋ JPEG
   • bariwaayu etiketu HTML
   • Histogramu leeralu pixel
   • Koeffisien cepstral yu fréquence mel (MFCCs)
5. Lan la couche softmax bi nekk ci njeexitalu genre bi di defar?
   • Séddale probabilite ci kaw genre yi
   • Benn formu onde audio
   • Fichier MP3 buñ komprime
   • Nataalu spektrogram
6. How can self-supervised music pretraining reduce dependence on labeled genre examples?
   • It eliminates the need to evaluate genre labels
   • It can learn audio representations from unlabeled music, which are then evaluated or fine-tuned with labeled examples
   • It guarantees correct labels for every song
   • It converts genre categories into universal facts
7. How can exact or repeated excerpts in GTZAN distort a random train/test evaluation?
   • They ensure that every genre label is objective
   • They make the test set contain more genres than training
   • If repetitions cross the split, a model may see duplicate or near-duplicate material in both sets
   • They remove any need to inspect class labels
8. How do MFCCs differ from a mel-spectrogram representation?
   • MFCCs are the model’s final genre probabilities
   • A mel-spectrogram removes the time axis entirely
   • MFCCs measure only the recording’s file size
   • MFCCs summarize the log-mel spectrum with cepstral coefficients