quiz bu lëkkale ak tegtal · Diggante Niveau

IA ci laaj ak tontu ci jàngat kàddu yi ci santu woote

Test xàmmee kàddu, diarization, ak jàngat yëg-yëg ci gëstu call-center, boole ci yam ak yaatuwaayu njàngale bu nekk.

Yooni njiit yu jëm ciIA ci jàngat kàdduy santaru woote
Laaj 1 de 8

What output can automatic speech recognition provide for speech analytics?

Xoolaatal laaj bu nekk8 laaj

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

  1. What output can automatic speech recognition provide for speech analytics?
    • A machine-generated transcript for downstream text analysis
    • A guaranteed speaker identity
    • A final diagnosis of the caller’s emotional state
    • A payment authorization
  2. What does speaker diarization do in a call recording?
    • Tekki woote bi ci beneen làkk
    • Segments the recording into speaker turns and assigns speaker labels
    • Natt ni woote bi dëgëree
    • Dafay encrypter enregistrement bi
  3. In IBM’s two-stream call-center emotion-recognition study, which information streams are combined?
    • Video and keystroke timing
    • Customer purchase history and account balance
    • Acoustic and lexical information
    • Only transcript punctuation
  4. Ban màndarga akustik mooy jàppale kiliyaan bi mu xam tolluwaayu yëg-yëgu ginaaw kàddu yi mu jëfandikoo?
    • Dayo fichier enregistrement bi
    • ID liggéeykatu ndawu liggéey bi
    • Operatëru telefon bi
    • Ton, ritm, ak volume (prosodie)
  5. In a two-stream call-center emotion system, what do acoustic features contribute?
    • Evidence from vocal delivery, such as how speech sounds
    • The caller’s verified identity
    • The account’s payment history
    • A guaranteed diagnosis of the caller’s emotion
  6. What task did Vidrascu and Devillers study for customer-service phone calls?
    • Predicting credit scores from call recordings
    • Speaker segmentation and emotion-related analysis of conversational turns
    • Generating live agent sales recommendations
    • Automating legal decisions about customer accounts
  7. Why might a call-center sentiment system combine lexical and acoustic features?
    • Acoustic features replace the transcript in every task
    • Lexical features reveal the phone carrier
    • The words and the way they are spoken provide complementary signals
    • Combining them guarantees the caller’s true emotion is known
  8. What does word-error rate compare in speech recognition evaluation?
    • Speaker identity against a customer account
    • Emotion labels against call duration
    • Call volume against agent schedule
    • Substitutions, deletions and insertions against the words in a reference transcript