Idanwo Iran Aami Orin

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

1. Kí ni ìran orin ìṣàpẹẹrẹ ń mú jáde ní ti gidi?
   • Akosile ti a ṣeto bi awọn akọsilẹ, awọn aaye, ati akoko (nigbagbogbo MIDI)
   • Ohun afetigbọ sitẹrio ti pari pẹlu awọn ohun orin gidi
   • Awọn orin nikan, ko si orin
   • Iṣẹ ọna ideri album
2. What scale did OpenAI report for MuseNet’s generated compositions?
   • Single notes on one instrument only
   • Compositions up to four minutes with ten different instruments
   • One-second clips with no instruments
   • Full orchestral scores limited to 100 measures
3. Ewo ninu iwọnyi jẹ awoṣe orin aami ti a mọ daradara lati OpenAI?
   • Stable Diffusion
   • Nfọhun
   • MuseNet
   • DALL-E
4. Bawo ni awọn awoṣe aami ode oni ṣe tọju orin nigbagbogbo ni iṣiro?
   • Bi awọn aworan ti awọn igbi
   • Bi ID ariwo pẹlu ko si be
   • Bi nọmba ẹyọkan fun orin kan
   • Gẹgẹbi ede, nibiti awọn iṣẹlẹ akiyesi jẹ awọn ami asọtẹlẹ ni ọkọọkan
5. Why can symbolic note-event sequences be shorter than raw-audio waveforms for a musical passage?
   • They represent musical events directly instead of every waveform sample
   • They remove all timing information
   • They store only a single note per song
   • They encode sound as images
6. Kini o nilo lati gbọ akojọpọ aami kan gangan?
   • Ko si ohun - o mu ara rẹ ṣiṣẹ bi ohun ti o pari
   • Asopọmọra tabi apẹẹrẹ lati ṣe awọn akọsilẹ sinu ohun
   • A titẹ sita
   • Awoṣe ede lọtọ lati kọ awọn orin kikọ
7. Which note-event properties can a symbolic sequence encode?
   • Only the waveform’s file size
   • Camera exposure and frame rate
   • Pitch, onset, duration, and velocity
   • The listener’s heart rate only
8. Which attributes did MuseNet combine in its note tokens?
   • Only the note’s printed letter name
   • Lyrics, album art, and release date
   • Waveform samples and speaker identity
   • Pitch, volume, and instrument information