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Questionário de qualidade de síntese de fala

Teste a inteligibilidade versus naturalidade, erros de número e nome, estudos de audição comparáveis, reprodução final, prosódia e qualidade específica da tarefa.

Caminhos de guia relacionadosQualidade de síntese de fala
Pergunta 1 de 8

O clipe A parece natural, mas diz “cinquenta” em vez de “quinze”. Qual dimensão falhou?

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  1. O clipe A parece natural, mas diz “cinquenta” em vez de “quinze”. Qual dimensão falhou?
    • Semantic and word correctness
    • Naturalness of timbre only
    • The ability to play audio
    • The reference sentence length
  2. Why can two reported mean opinion scores be hard to compare?
    • MOS always uses an identical test set worldwide
    • A higher number guarantees correct pronunciation
    • Listeners, samples, scales and playback conditions may differ
    • A listening score determines licensing
  3. Which material should a TTS test include beyond easy demo sentences?
    • Only short common words
    • Names, abbreviations, numbers, code-switching and long passages
    • Only one synthesized vowel
    • Only text with no punctuation
  4. Uma voz parece expressiva, mas perde a quantidade do medicamento. Como a qualidade deve ser julgada?
    • Average naturalness with correctness and ignore the amount
    • Treat fluency as proof of accurate words
    • Only check whether the voice is recognizable
    • According to the task’s requirement, treating the amount as a serious error
  5. Why check the final exported audio after compression and mixing?
    • The source text changes automatically
    • Export always repairs pronunciation
    • Delivery processing can introduce clipping or reduce intelligibility
    • Platform processing cannot affect audio
  6. What can a pronunciation review reveal that a naturalness rating may hide?
    • A fluent-sounding voice may say a name or number incorrectly
    • Pronunciation and naturalness are identical
    • The listening room is irrelevant
    • Correct words guarantee human-like rhythm
  7. Why define the listening context before a quality test?
    • Every task uses the same speaker and device
    • Context determines no measurable outcomes
    • A model cannot generate long speech
    • A notification, lesson and phone call have different needs and noise conditions
  8. Which accessibility aid should remain with generated speech when appropriate?
    • Only a hidden synthesis prompt
    • A readable transcript of the final spoken content
    • Only a model parameter list
    • Only one MOS number