How does normalization improve the readability of transcriptions in OCI speech?

How does normalization improve the readability of transcriptions in OCI speech?

• A. It adjusts the volume levels of audio inputs
• B. It converts elements like numbers, dates, and URLs into standard readable formats
• C. It filters out background noise from audio recordings
• D. It enhances the clarity of speaker voices

Answer: (B)

Normalization in the context of OCI speech transcriptions refers to the process of converting different elements within the spoken content into standardized, readable formats. This includes transforming numbers into words, formatting dates, and adapting URLs to a uniform representation. By standardizing these elements, the text becomes more comprehensible and easier for users to read and understand. For example, the number "1,235" could be normalized to "one thousand two hundred thirty-five," making it clearer in the context of a transcription. Similarly, dates can be formatted consistently, such as changing "04/05/2023" to "April 5, 2023," which enhances the clarity and uniformity of the transcription. This standardization greatly improves readability and allows for a smoother reading experience for the end-user, ensuring that important information is communicated clearly without confusion about formats. While other options mention audio aspects like adjusting volume, filtering noise, or enhancing the clarity of voices, those processes focus on improving the quality of the audio input rather than directly enhancing the readability of the transcriptions themselves. Normalization specifically addresses how the transcribed text is presented, which is crucial for users who rely on accurate and understandable textual representations of spoken content.

Normalization in the context of OCI speech transcriptions refers to the process of converting different elements within the spoken content into standardized, readable formats. This includes transforming numbers into words, formatting dates, and adapting URLs to a uniform representation. By standardizing these elements, the text becomes more comprehensible and easier for users to read and understand.

For example, the number "1,235" could be normalized to "one thousand two hundred thirty-five," making it clearer in the context of a transcription. Similarly, dates can be formatted consistently, such as changing "04/05/2023" to "April 5, 2023," which enhances the clarity and uniformity of the transcription. This standardization greatly improves readability and allows for a smoother reading experience for the end-user, ensuring that important information is communicated clearly without confusion about formats.

While other options mention audio aspects like adjusting volume, filtering noise, or enhancing the clarity of voices, those processes focus on improving the quality of the audio input rather than directly enhancing the readability of the transcriptions themselves. Normalization specifically addresses how the transcribed text is presented, which is crucial for users who rely on accurate and understandable textual representations of spoken content.