Kediska Xusuus-qorayaasha Kulanka AI

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. What role does automatic speech recognition play in a meeting-notetaker workflow?
   • It converts speech into a text transcript for later processing, although preprocessing or diarization may come first
   • It always runs before any audio preprocessing
   • It produces the final action list without a transcript
   • It determines which participants consented to recording
2. Muxuu ku sameeyaa qoraalka qoraalka ah ee 'Speaker Diaarization'?
   • Waxay siraysaa faylka codka
   • Waxay ku calaamadsan tahay af-hayeenka sheegay ereyada
   • Wuxuu kulanka u turjumayaa luqad kale
   • Wuxuu tirinayaa inta daqiiqo ee shirku socday
3. Qoraalka ka dib, waa maxay qaabka luqadda weyn shaqadiisa ugu weyn?
   • Si aad u duubto muqaalka qaraar sare
   • Si aad shirka u tirtirto ku casuun
   • Si loo soo koobo qoraalka lagana soo saaro go'aammada iyo walxaha ficilka
   • In la aamusiyo ka qaybgalayaasha
4. Why can very long meeting transcripts require special handling?
   • The microphone runs out of battery after one hour
   • Shirarka dheer lama duubi karo haba yaraatee
   • Internet access always disconnects after one hour
   • They may exceed the model context limit, so the system needs an appropriate chunking, summary, or retrieval approach
5. What privacy issue should a meeting organizer assess before enabling a notetaker?
   • How speech and related meeting data are processed, retained, shared, and governed
   • Whether every tool stores all meeting recordings forever
   • Whether transcription removes the need for participant notice
   • Whether a summary can be shared without considering policy
6. Waa kuwee faa'iidada maalinlaha ah ee dhabta ah ee notetaker AI?
   • Waxay qortaa ajandaha shirka oo dhan bilo ka hor
   • Saaxiibkii seegay kulanka ayaa akhriya qoraal kooban halkii uu ka akhrin lahaa duubis buuxa
   • Waxay dammaanad qaadaysaa in aanu qofna weligii khilaafin
   • Waxay beddeshaa baahida loo qabo in mar kale la kulmo
7. What training scale did the Whisper paper report?
   • 680 hours of monolingual audio
   • 680 million hours of labeled video
   • 680,000 hours of multilingual and multitask audio supervision
   • A fixed vocabulary of 680,000 words
8. Why should meeting action items be reviewed by participants?
   • The transcript is always a verbatim recording
   • Speaker labels are legally certified
   • Review prevents all privacy issues
   • Summaries can omit context or misattribute a statement, so people should verify consequential notes