Idanwo ti o sopọ mọ itọsọna · Alabọde Ipele

Akositiki iwoyi ifagile adanwo

Review how echo cancellers use far-end reference audio, adaptive filters, and neural residual suppression during calls and changing room conditions.

Jẹmọ itọsọna awọn ọnaAkositiki iwoyi ifagile
Ibeere 1 ti 8

Iṣoro wo ni ifagile iwoyi akositiki yanju ni akọkọ?

Awotẹlẹ gbogbo ibeere8 ibeere

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

  1. Iṣoro wo ni ifagile iwoyi akositiki yanju ni akọkọ?
    • Idaduro ohun agbọrọsọ lati gbe soke nipasẹ gbohungbohun ati firanṣẹ pada si opin ti o jinna
    • Fifun awọn faili ohun lati ṣafipamọ bandiwidi
    • Itumọ ọrọ si ede miiran
    • Igbelaruge iwọn didun ti awọn agbohunsoke idakẹjẹ
  2. Ifihan 'itọkasi' wo ni eto AEC kan gbẹkẹle lati ṣe asọtẹlẹ iwoyi?
    • Iṣawọle gbohungbohun agbọrọsọ ti o sunmọ opin
    • Ifihan agbara ti o jinna ti n ṣiṣẹ jade ti agbọrọsọ
    • Awoṣe yara ti a ti gbasilẹ tẹlẹ
    • Awọn ipele ariwo abẹlẹ
  3. Iru oju iṣẹlẹ wo ni o ṣoro pupọ fun AEC ati pe o le fa àlẹmọ adaṣe lati ṣe aiṣedeede?
    • Idakẹjẹ pipe lori awọn opin mejeeji
    • A nikan eniyan soro laiyara
    • Ọrọ sisọ-meji, nigbati awọn mejeeji ba sọrọ ni nigbakannaa
    • Ti ndun orin pẹlu ko si ọkan sọrọ
  4. Kini àlẹmọ aṣamubadọgba ni AEC Ayebaye gbiyanju lati ṣe iṣiro?
    • Ohun orin ẹdun ti agbọrọsọ
    • Agbara ifihan Wi-Fi
    • Kodẹki funmorawon ni lilo
    • Ona akositiki (idahun iyanju) lati agbọrọsọ si gbohungbohun ninu yara naa
  5. Kini idi ti awọn nẹtiwọọki nkankikan n pọ si ni oke ti awọn asẹ AEC kilasika?
    • Lati mu ipalọlọ ti kii ṣe lainidi ati iwoyi aloku ti awọn asẹ laini padanu
    • Lati ṣe awọn ipe diẹ gbowolori
    • Lati rọpo ohun elo gbohungbohun
    • Lati fa fifalẹ processing fun išedede
  6. Iru algoridimu adaṣe wo ni o ni nkan ṣe pẹlu ifagile iwoyi ibile?
    • RSA ìsekóòdù
    • Ṣe deede Awọn onigun Itumọ Kekere (NLMS)
    • JPEG funmorawon
    • Dijkstra ká alugoridimu
  7. Why must an adaptive echo-path filter keep updating during a call?
    • The far-end reference changes its language every second
    • The microphone stops recording whenever a door opens
    • Room acoustics can change when people or objects move, changing the path from speaker to microphone
    • A fixed filter automatically learns new room conditions without updates
  8. What kinds of recordings are included in Microsoft's AEC Challenge datasets?
    • Only music recorded in anechoic chambers
    • Only far-end speech with no microphone signal
    • Only speech with no echo or near-end speaker
    • Single-talk and double-talk recordings from real devices and speakers, plus synthetic data