AIF-C01 exam dumps

AIF-C01 practice question 175 of 231

AWS Certified AI Practitioner. Associate level, Amazon Web Services. Free question with the correct answer and a full explanation.

AIF-C01 Question 175

Select 3

A machine learning team is tasked with building a voice recognition system that will be used by individuals from diverse linguistic and cultural backgrounds. To ensure the dataset used for training the model is suitable, which of the following actions should they take?

  1. A

    Ensure the dataset includes audio samples from speakers of different ages, genders, and accents.

  2. B

    Only include audio samples from native speakers of the target language to maintain uniformity.

  3. C

    Balance the dataset so that no single demographic group dominates the samples.

  4. D

    Exclude outlier data, such as speech with background noise, to ensure cleaner inputs for the model.

  5. E

    Source curated audio data from diverse and reliable sources.

Show answer and explanation

Correct answers: A, C, E

Explanation

To build an inclusive and effective voice recognition system, the dataset must be diverse and balanced. Including samples from various demographic groups and sourcing high-quality, curated data ensures the model is trained on a representative dataset. Balancing the dataset prevents bias, and including real-world variations like accents and backgrounds makes the model robust to different scenarios.

  • A. Correct.

    Ensuring the dataset includes audio samples from speakers of different ages, genders, and accents promotes inclusivity and diversity, allowing the model to generalize better to real-world scenarios.

  • B. Incorrect.

    Excluding non-native speakers restricts diversity and inclusivity, which can lead to poor performance on non-native accents or dialects.

  • C. Correct.

    Balancing the dataset ensures that no single demographic group skews the model, reducing the risk of bias and improving fairness in predictions.

  • D. Incorrect.

    Excluding outlier data, such as speech with background noise, might limit the dataset's robustness, as real-world scenarios often include noisy environments.

  • E. Correct.

    Sourcing curated audio data from diverse and reliable sources ensures the dataset is high quality and representative of the intended user base.

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