Learn how tokenization serves as the foundational step in speech synthesis by breaking down text into individual words. Discover its role in improving text-to-speech technology and enhancing user experience.
Table of Contents
Question
Which of the following components of speech synthesis is the initial step that involves breaking down text into individual words?
A. Tokenization
B. Lemming
C. Transliteration
D. Stemming
Answer
A. Tokenization
Explanation
Tokenization is the initial step in speech synthesis where the input text is divided into smaller units. In this context, the text is broken down into individual words to facilitate the subsequent stages of the synthesis process. The process of speech synthesis has the following components:
- Tokenization: Breaking down text into individual words.
- Phonetic assignment: Assigning phonetic sounds to each word.
- Prosodic unit creation: Grouping words into phrases, clauses, or sentences for proper intonation.
- Phoneme conversion and audio generation: Converting phonemes to audio with chosen voice, speaking rate, pitch, and volume.
Lemming leverages morphological analysis to reduce inflected words (e.g., “running”) to their base form (e.g., “run”). While it may be relevant for later processing, it is not the initial word breakdown step.
Stemming is similar to lemmatization and also reduces words to their base or stem form (e.g., “running” to “run”). It is also not the initial step in speech synthesis.
Transliteration converts characters from one writing system to another, preserving the pronunciation (e.g., Cyrillic to Latin). It does not involve dividing text into words, making it irrelevant in this context. Stemming and lemmatization are both techniques used in natural language processing (NLP) to reduce words to their base forms. Stemming is simpler but can be less accurate. Lemmatization is more complex but generally produces more reliable results.
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