Maswali ya Vidakuzi vya Mkutano wa AI

Majibu na maelezo huonekana unapojibu maswali.

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. 'Uwekaji sauti wa kipaza sauti' hufanya nini katika nakala ya mkutano?
   • Husimba kwa njia fiche faili ya sauti
   • Lebo ni mzungumzaji gani alisema maneno gani
   • Inatafsiri mkutano kwa lugha nyingine
   • Huhesabu ni dakika ngapi mkutano ulifanyika
3. Baada ya unukuzi, kazi kuu ya modeli ya lugha ni ipi?
   • Ili kurekodi video katika ubora wa juu
   • Ili kufuta mwaliko wa mkutano
   • Kufanya muhtasari wa nakala na kutoa maamuzi na vipengee vya kushughulikia
   • Ili kuwanyamazisha washiriki
4. Why can very long meeting transcripts require special handling?
   • The microphone runs out of battery after one hour
   • Mikutano mirefu haiwezi kurekodiwa hata kidogo
   • 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. Ni faida gani ya kila siku ya kidakuzi cha AI?
   • Inaandika ajenda nzima ya mkutano miezi mapema
   • Mwenzake aliyekosa mkutano anasoma muhtasari mfupi badala ya rekodi kamili
   • Inahakikisha hakuna mtu anayekataa kamwe
   • Inachukua nafasi ya hitaji la kukutana tena
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