Transcription service
A product has been made on OpenAI Wisper using the turbo model, achieving over 85% transcription accuracy in the Ukrainian language, with Python code. It is necessary to understand and implement how to improve this indicator with the help of a knowledge base or machine learning.
I am waiting for a plan for implementation and ideas; priority will be given to those who have already worked with OpenAI Wisper.
Other details such as access to the code will be provided in private messages.
Additionally, it is required to perform speaker separation in the audio file.
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3092 11 0 Good time of day.
I am developing in Python!
I have worked with Wisper!
Which specific setting are you using? There are 5 of them.
Maybe the issue is with them.
Write to me - we will discuss the details.
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690 5 0 Hello!
I can help improve recognition and add speaker identification.
First, let's take a look at which model and parameters you are using, then we will configure Whisper (or WhisperX) and integrate diarization through pyannote.
I will wait for your feedback!
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У вашому проекті закладені ресурси під модель, якщо підключати базу знань?
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Це зробити дуже просто. Знайти необхідний бюджет та заплатити команді професійних розробників...
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