Baatu-caabi Spotting ak Wake Words Quiz

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

1. Lan mooy liggéey bi gëna am solo ci detektëru baatu yeewu?
   • Ngir xam kañ lañu wax benn mbind
   • Ngir bind bépp baat bu jëfandikukat bi wax ci mbind
   • Tekki kàddu yi ci beneen làkk
   • ngir kompresse audio ngir dencukaay cloud
2. Lan moo waral oparlër yu bari di jëfandikoo jëmmal gis bu am ñaari etap?
   • Jàppale ñaari làkk yu wuute benn yoon
   • Ngir bàyyi puce bu néew doole xool bu baax balaa model bu gëna mag di firndeel, sakkanal batëri
   • Enregistrer ñaari kopi audio ngir backup
   • Doxal ñaari assistant baat yu wuute benn yoon
3. Luy 'njuumte nangu' ci gis-gis baat buy yewwu?
   • Aparey bi dafay baña bàyyi xel ci ab baatu-dekki buñu wax bu baax
   • Aparey bi dafay dégg bu baax benn baat ni beneen baat ci biir frase
   • Aparey bi dafay yewwu doonte kenn waxul kàddu yi ko waral
   • Aparey bi mënul jëflante ak internet
4. Ci gàttal, naka lañuy waajal audio biy dugg balaa reso neuronal bi diko gis?
   • Dañu koy njëkka denc ni file MP3 bu mat sëkk
   • Dañu koy soppi ci saasi mu nekk frase yuñ bind
   • Dañu koy yónnee ci serwër bu sori ngir jàngat ko
   • Dañu koy dagg ci ay kaadar yu gàtt yuy jaxasoo ba noppi soppi ko ci màndarga akustik yu melni MFCCs wala mel energies
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