Guide-yakabatana mibvunzo · Pakati Nhanho

Spectral Kubvisa uye Wiener Kusefa Quiz

Ongorora maitiro ekubvisa uye Wiener kusefa fungidziro ruzha, kuita STFT spectra, uye kutengeserana chiratidzo kukanganisa kupesana neruzha rwasara.

Nzira dzekutungamira dzinoenderanaSpectral Kubvisa uye Wiener kusefa
Mubvunzo 1 ye 8

Chii chinogumbura chigadzirwa chinowanzobatanidzwa nekubvisa spectral?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. Chii chinogumbura chigadzirwa chinowanzobatanidzwa nekubvisa spectral?
    • Mumhanzi ruzha (random fleeting tones)
    • Echo kudzima
    • Volume normalization
    • Kuchinja kwepitch
  2. Munzvimbo ipi iyo spectral kubvisa uye Wiener kusefa kunonyanya kushanda?
    • The raw time domain chete
    • Iyo frequency domain mushure me STFT
    • The text domain
    • The image domain
  3. Under a specified statistical signal-and-noise model, what criterion does the classical Wiener estimator minimize?
    • The number of STFT frames
    • The file’s bit rate
    • Expected mean-squared estimation error
    • The number of microphones
  4. Ko spectral subtraction inowanzo fungidzira ruzha rweruzha sei?
    • Kubva pane zvisina kujairika nhamba jenareta
    • Kubva pane zvinyorwa zvinyorwa
    • Kubva pachikamu chinonzwika chechiratidzo
    • Kubva kune zvinyararire kana zvisingatauri-zvisina kutaura zvikamu zveodhiyo
  5. In the common power-spectrum Wiener gain G=Ps/(Ps+Pn), what do Ps and Pn denote?
    • Estimated clean-signal and noise powers in that frequency bin
    • Speech and noise sample counts
    • Two different phase angles
    • The number of filters and frames
  6. Ndeipi fungidziro huru inoganhura nzira dzose dziri mbiri kurwisana nemitsindo yakangoerekana yaita sokurovera kwegonhi?
    • Kutaura ikoko kunogara kune ruzha
    • Kuti ruzha rwakamira zvishoma
    • Kuti pane mutauri mumwe chete
    • Kuti odhiyo iri mu stereo
  7. What may happen to the estimated magnitude in a spectral-subtraction bin when the noise estimate exceeds the observation?
    • It is wrapped into a positive phase
    • It is replaced by a transcript token
    • The negative result is floored to zero
    • It is doubled to preserve loudness
  8. When a real-valued Wiener gain is applied to a complex noisy STFT coefficient, what is commonly done with its phase?
    • Phase is replaced by the text prompt
    • Phase is always set to zero
    • The coefficient is converted into a stereo channel
    • The noisy phase is retained while the magnitude is scaled