Guide-yakabatana mibvunzo · Zvakaoma Nhanho

Filterbank uye PLP Features Quiz

Edza kuti log-mel mafirita mabhangi uye PLP anoshandura sei mafuremu ekutaura mapfupi kuita maumbirwo anonzwisisika emhando dzekutaura dzemazuva ano.

Nzira dzekutungamira dzinoenderanaFilterbank Uye Plp Features
Mubvunzo 1 ye 8

Why do speech filterbanks use mel- or Bark-spaced bands instead of uniformly spaced hertz?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. Why do speech filterbanks use mel- or Bark-spaced bands instead of uniformly spaced hertz?
    • The scales allocate finer frequency spacing at low frequencies and coarser spacing at high frequencies, approximating aspects of hearing
    • They make files smaller only
    • They remove all background noise
    • They guarantee perfect speech recognition
  2. Chii chinoitwa nemutsara wekufanotaura nhanho muPLP?
    • Inowedzera inzwi
    • Inokwana envelope yakatsetseka inobata vocal-tract shape
    • Inowedzera reverb
    • Inoshandura odhiyo kuita zvinyorwa zvakananga
  3. Ndeipi mhando yemhando ndiyo inonyanya kufarirwa yemhando dzemazuva ano dzinoziva matauriro?
    • Mbishi MIDI mafaera
    • Zvinyorwa zvakanyorwa nemaoko
    • Log-mel filterbank zvinhu
    • JPEG spectrograms
  4. MaMFCC anosiyana sei neyakasvibira log-mel filterbank maficha?
    • MFCCs haishandisi mafirita zvachose
    • MFCC inoyerwa mumadecibel chete
    • MFCC inoda maikorofoni array
    • MFCCs anowedzera cosine shanduko kushongedza iyo filterbank inobuda
  5. Ndechipi chepfungwa chinosanganisirwa PLP icho chakakosha mel filterbanks hachiite?
    • Iyo yakaenzana-ruzha curve uye cube-midzi intensity compression
    • Chimiro chemutauro wakavakirwa mukati
    • Kushandura otomatiki
    • Stereo panning
  6. Why might a deep model use log-mel features or raw waveforms instead of PLP?
    • PLP haisi pamutemo kushandisa
    • The model can learn useful task-specific representations without every hand-designed PLP step
    • Raw audio inogara idiki
    • PLP inoshanda kumumhanzi chete
  7. What is a typical log-mel filterbank feature for one speech frame?
    • A word-level translation
    • A single pitch label for the whole recording
    • The logarithm of spectral energy pooled through a mel-spaced filter
    • A pixel color from a spectrogram image
  8. Which order best describes the main PLP processing steps?
    • Translation, tokenization, and decoding
    • Stereo panning, reverb, and compression
    • Image segmentation followed by color correction
    • Critical-band analysis, equal-loudness weighting, loudness compression, then linear prediction