quiz bu lëkkale ak tegtal · Diggante Niveau

Quiz Codec Audio

Xoolaat token 12.5 Hz yu Mimi, téere kode semantik ak akustik, RVQ, streaming causal, ak ni codec bi di jàppale waxtaan Moshi.

Yooni njiit yu jëm ciKodeku Audio Mimi
Laaj 1 de 8

Ban labo moo genne Mimi ak modelu baat Moshi?

Xoolaatal laaj bu nekk8 laaj

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

  1. Ban labo moo genne Mimi ak modelu baat Moshi?
    • Kyutai
    • OpenAI
    • DeepMind
    • Meta AI
  2. Lu tollu ci ñaata token la Mimi di def ci seconde ngir wax?
    • Lu tollu ci 200
    • Lu tollu ci 12.5
    • Lu tollu ci 1000
    • Lu tollu ci 16000
  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. Lu tax ñuy wax Mimi ni 'streaming' wala 'causal'?
    • Ci fichier musical yuñ stream rek lay dox
    • Dafay laaj ab cloud stream ngir mëna dox
    • Dafay stream ay sous-titre
    • Dafay génne ay token ginaaw bi audio bi yegsee, du xaar clip bi yépp
  5. Ban pexem kantite la Mimi di jëfandikoo ngir enkode audio bi?
    • Vecteur residuel (RVQ)
    • Kompresioŋ bloku JPEG
    • Kodage guddaayu daw
    • Càmbaru lëf li gëna am solo
  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 simili
  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