I will build an arabic speech to text ai with a finetuned model
About this Gig
Need Arabic audio turned into text automatically? I build speech-to-text pipelines using Whisper, the open-source speech recognition model, set up to transcribe your Arabic recordings into clean text and timed SRT subtitles.
I fine-tuned Whisper on 25,000 Arabic speech samples, reducing its word error rate from 44.5% to 25.7%, and built a full system that transcribes, summarizes, and searches Arabic audio. I bring that experience to your recordings, whether they are lectures, interviews, podcasts, or meetings.
The starter package delivers a ready-to-run transcription pipeline, tested on up to 1 hour of your audio, with text and SRT outputs and a setup guide. Please note that this is AI transcription and is not proofread by a person; accuracy depends on dialect, background noise, and recording quality. Fine-tuning a model on your own audio for higher accuracy is available as a custom offer.
Message me before ordering and send a short sample of your audio, so I can review it and set clear expectations before you buy.
Expertise:
Speech & Audio
Programming language:
Python
Tools:
Other

