Build me an Python based ML Algorithm to convert Call recording to Hinglish.

I'm looking for an Python based Ml algorith to convert multiple call recording(these call recording contains multiple language of different states of India.). So, I want any expert to convert the recording into Hinglish (Hindi Word Written in English).

I've attaiched an sample .wav audio file you an designe an algorith using this, i've thousands of such audio file your algorith shoud work for all.

Beceriler: Python, Machine Learning (ML), Yapay Zeka, Audio Processing, Veri Bilimi

Daha fazlasını gör: want build twitter based site, company based trust regularization months call center, trixbox call recording addon, trixbox call recording, nokia call recording, build flash based store, build website based vbulletin database, build windows based auto dialer, time based rating algorithm, php build text based multiplayer game site, python based social network app, build web based data entry application aspnet, asterisk call recording appliance, asterisk call recording beep, asterisk call recording display phone, call recording add trixbox, python based ticketing system, python based virtual stock market, build call recording app

İşveren Hakkında:
( 0 değerlendirme ) Greater Noida, India

Proje NO: #22198704

Bu iş için 5 freelancer ortalamada ₹8078 teklif veriyor


Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several comp Daha Fazla

₹15000 INR in 7 gün içinde
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hello sir I'm a machine learning engineer having 2+ year of experience. I have done many projects on machine learning, Deep learning, image processing. Some of the projects are TMDB box office prediction humph back wh Daha Fazla

₹5000 INR in 5 gün içinde
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I want to work on this project. Relevant Skills and Experience i know machine learning ,deep learning and python.

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₹1500 INR in 7 gün içinde
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We have a dedicated team. Talk to us

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