Keyword Spotting uye Wake Words Quiz

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

1. Ndeipi basa rekutanga rewake-word detector?
   • Kuziva kana izwi rekutanga rataurwa
   • Kunyora izwi rega rega rinotaurwa nemushandisi mumavara
   • Kuturikira kutaura kune mumwe mutauro
   • Kumanikidza odhiyo yekuchengetedza gore
2. Nei vazhinji vatauri vakangwara vachishandisa dhizaini yekuona-matanho maviri?
   • Kutsigira mitauro miviri yakasiyana kamwechete
   • Kuita kuti chipu chepasi-simba chitarise zvakakasharara pamberi pemhando hombe yasimbisa, kuchengetedza bhatiri
   • Kurekodha makopi maviri eodhiyo kuitira backup
   • Kumhanyisa maviri akapatsanurwa mazwi ekubatsira panguva imwe chete
3. Ko 'kubvuma kwenhema' kunorevei mukuonekwa kwemazwi?
   • Mudziyo unofuratira mutsara unotaurwa nemazvo
   • Chishandiso chinokanganisa rimwe izwi serimwe mumutsara
   • Chishandiso chinomuka kunyangwe pasina akataura mutsara wekusimudza
   • Chishandiso chatadza kubatana neinternet
4. Zvinei kuti iyo inouya yakagadziridzwa sei iyo neural network isati yazviona?
   • Inochengetwa sefaira reMP3 rakazara kutanga
   • Inoshandurwa zvakananga kuva mitsara yakanyorwa
   • Inotumirwa isina kuchinjwa kune iri kure server kuti iongororwe
   • Inochekwa kuita mafuremu mapfupi anopindirana uye anoshandurwa kuita acoustic maficha seMFCC kana mel simba.
5. What trade-off can raising a wake-word detector’s activation threshold create?
   • Fewer false accepts but potentially more false rejects or delayed detections
   • More false accepts and guaranteed zero false rejects
   • No change in either error rate under any audio condition
   • A guarantee that every user’s phrase is recognized
6. What result did Hello Edge report for its depthwise separable CNN on the Google Speech Commands evaluation?
   • 100% accuracy on all languages and devices
   • 95.4% accuracy, about 10% higher than a DNN with a similar parameter count
   • 95.4% lower memory use than every competing model
   • A 10% guaranteed battery-life increase for every microcontroller
7. What does a false reject mean in wake-word detection?
   • The detector activates without the wake word
   • The microphone records silence correctly
   • The user says the wake word but the detector does not activate
   • A speaker is assigned the wrong identity
8. Why may a wake-word system use a compact model on-device?
   • It guarantees zero false accepts
   • It replaces all speech recognition
   • It makes the wake phrase unnecessary
   • It can reduce dependence on network access and support low-power always-on detection