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Revolutionizing Language Obstacles: Mastering Multilingual Audio Transcription and Semantic Search | by Luís Roque | Dec, 2023

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Unlock the potential of cross-language info accessibility with superior transcription and semantic search applied sciences

Towards Data Science

In our ever-connected world, the place info has no borders, the power to make it accessible to everybody, no matter their native language or their capability to be taught a brand new language, may be very related. Whether or not you’re a content material creator or lead a worldwide group, having the ability to rapidly and effortlessly assist your followers/prospects seek for particular info in a number of languages has a number of advantages. For instance, it could possibly help prospects with the identical questions already answered in a special language.

Think about a special use case the place you ceaselessly should attend firm conferences. Usually, you may be unable to take part, and lots of subjects mentioned might not be related to you. Wouldn’t it’s handy if you happen to might seek for the subjects that curiosity you and obtain a abstract, together with the beginning and finish occasions of the related discussions? This fashion, as a substitute of spending an hour in a gathering, you can spend simply ten to fifteen minutes gathering the required info, considerably boosting your productiveness. Moreover, you may need conferences recorded in Portuguese and English. However, you have an interest in conducting your search in English.

On this article, we are going to present you methods to implement multilingual audio transcription and multilingual semantic search as a way to implement it on your use circumstances. For the multilingual audio transcription, we are going to clarify how Whisper and WhisperX work, their limitations, and methods to use them in Python.

Then, we introduce how multilingual semantic search fashions are skilled and why you will get the identical info from a vector database whatever the language you queried with. We additionally present an in depth implementation of semantic search resorting to Postgres and PGVector.

Lastly, we present the outcomes of the above on two use circumstances. We use two movies, one in Portuguese and the opposite in English, and we question them with the identical query in Portuguese and English to verify if we get hold of the identical reply.



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