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Title: Parallelizing Google Speech-to-Text Transcription of Multiple GCS URIs in Python

Explanation:
I’m working on a project where I need to transcribe multiple audio files stored in Google Cloud Storage (GCS) to text using Google Speech-to-Text API in Python. I have a list of GCS URIs, and I want to process them in parallel to save time. However, my current implementation using ThreadPoolExecutor doesn’t seem to be efficient. I’m wondering if there’s a better way to achieve parallel processing for transcribing these audio files.