ARBML/klaam
Arabic speech recognition, classification and text-to-speech.
This project helps anyone working with spoken Arabic by performing three key tasks: converting spoken words into written text, identifying the dialect of spoken Arabic, and generating natural-sounding Arabic speech from written text. You feed it an Arabic audio file to get text or dialect classification, or provide Arabic text to receive an audio file of it being spoken. This tool is designed for linguists, content creators, educators, or businesses needing to process or generate Arabic voice content.
424 stars. No commits in the last 6 months.
Use this if you need to accurately transcribe Arabic audio, classify spoken Arabic by dialect (Modern Standard, Egyptian, Levantine, Gulf, North African), or create speech from Arabic text.
Not ideal if you are working with languages other than Arabic or require highly customized speech models without prior technical experience.
Stars
424
Forks
85
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 30, 2023
Commits (30d)
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