Guide-linked quiz · Medium Level
MusicGen Quiz
Review MusicGen’s text and melody conditioning, EnCodec tokens, autoregressive stream interleaving, and model-use limitations.
Question 1 of 8
Which input can a melody-conditioned MusicGen variant accept in addition to text?
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- Which input can a melody-conditioned MusicGen variant accept in addition to text?
- A reference melody
- A photo and a tempo number
- A drum loop and a video clip
- A genre tag only
- Which neural codec produces the audio tokens MusicGen predicts?
- SoundStream
- EnCodec
- MP3
- Whisper
- How does MusicGen model multiple EnCodec code streams?
- It avoids using any neural network
- It requires a separate model per second of audio
- A single-stage autoregressive Transformer uses delayed, interleaved streams
- It only outputs MIDI
- How does MusicGen follow a provided melody without copying the exact recording?
- It memorizes the audio file
- It transcribes it to sheet music first
- It ignores melody entirely
- It uses a chromagram (pitch-class profile) for conditioning
- Which project and company released MusicGen?
- Meta's AudioCraft
- Google's AudioLM
- OpenAI's Jukebox
- Stability AI's Stable Audio
- What provides MusicGen's text conditioning?
- A convolutional image network
- A T5 text encoder
- A random number generator
- The EnCodec decoder
- What maximum duration does the standard AudioCraft MusicGen implementation set for a single generation?
- Exactly 12 seconds with no extension support
- Two minutes in every configuration
- Up to 30 seconds before using its extended-generation path
- Unlimited duration in a single model call
- What license does the official MusicGen model card list for its pretrained weights?
- Apache 2.0 for all weights and code
- Public domain with no conditions
- MIT for all weights and training data
- CC-BY-NC 4.0
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