Mimi Streaming Audio Codec Quiz

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Shaybaarkee ayaa sii daayay Mimi iyo qaabka codka Moshi?
   • Kyutai
   • OpenAI
   • DeepMind
   • Meta AI
2. Qiyaastii imisa calaamadood ayay Mimi ku soo daysaa hadalka?
   • Ilaa 200
   • Qiyaastii 12.5
   • Ilaa 1,000
   • Ilaa 16,000
3. What information does Mimi’s first semantic codebook aim to represent?
   • Only the waveform’s stereo channel count
   • A transcript copied verbatim from a separate recognizer
   • Semantic speech information distilled from WavLM representations
   • The exact speaker identity with no acoustic tokens
4. Waa maxay sababta Mimi loogu sifeeyay inay tahay 'qulqulka' ama 'sababaha'?
   • Waxa kaliya oo ay ku shaqaysaa faylalka muusiga ee la shubay
   • Waxay u baahan tahay qulqulka daruuraha si uu u shaqeeyo
   • Waxay daadisa qoraal hoosaadyada
   • Waxay soo saartaa calaamado marka codku yimaado halkii laga sugi lahaa goos gooska buuxa
5. Farsamada xisaabintee ayay Mimi isticmaashaa si ay u codeeyaan codka?
   • Tirinta vector haraaga (RVQ)
   • JPEG xannibista
   • Codaynta dhererka orodka
   • Falanqaynta qaybta ugu muhiimsan
6. What does Mimi’s discrete audio-token representation let Moshi do?
   • Treat audio tokens as ordinary words with identical meanings
   • Model audio continuations as token sequences and decode them back into speech
   • Avoid using an audio decoder
   • Recover the original recording session stems
7. What is a reported frame size for Mimi’s streaming codec in the Moshi paper?
   • 8 seconds
   • 1 millisecond
   • 80 milliseconds
   • 10 daqiiqo
8. Which encoder/decoder design does the Moshi report describe for Mimi?
   • A text-only BERT encoder with no audio decoder
   • A fixed lookup table with no learned encoder
   • A bidirectional non-causal decoder that waits for the entire conversation
   • Neural encoder and decoder Transformers with causal masking for streaming