FOOCTTS: Generating Arabic Speech with Acoustic Environment for Football
  Commentator
Massa Baali Ahmed Ali
This paper presents FOOCTTS, an automatic pipeline for a football commentator
that generates speech with background crowd noise. The application gets the
text from the user, applies text pre-processing such as vowelization, followed
by the commentator's speech synthesizer. Our pipeline included Arabic automatic
speech recognition for data labeling, CTC segmentation, transcription
vowelization to match speech, and fine-tuning the TTS. Our system is capable of
generating speech with its acoustic environment within limited 15 minutes of
football commentator recording. Our prototype is generalizable and can be
easily applied to different domains and languages.