Feature Request: Enable Text Normalization also for text with special character only

Summary

Currently, text normalization is only applied for English language codes (en-us, en-gb, etc.). However, text normalization should run for all languages since special characters and emoji sequences can appear in any language and need to be processed consistently.

Current Behavior

if lang_code in ["a", "b", "en-us", "en-gb"]:
    # Custom phonemes + normalization
    processed_text = CUSTOM_PHONEMES.sub(...)
    processed_text = normalize_text(processed_text, normalization_options)
else:
    logger.info("Skipping text normalization as it is only supported for english")

this approach will not normalize correctly in this case:

10:14:18 AM | DEBUG | text_processor:164 | Split raw text into 1 parts by pause tags.
10:14:18 AM | INFO | text_processor:188 | Skipping text normalization as it is only supported for english
10:14:18 AM | DEBUG | text_processor:65 | Total processing took 0.21ms for chunk: '😊"'

is it possible to always normalize the non-english language in a way that special characters and emojis are removed?