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Developer needed for TTS Engine -- 2

Job Description:

We are looking for some developer experienced in the field of Text to speech. Development language should be python. Libraries which should be used are not fixed but we prefer tacotron2 in combination with waveglow. The engine should be able to work completely offline without any network connection. The quality should human realistic. Samples required of previous work.

The work should be done as Jupyter Notebooks to get better overview about the code and overview about the quality in asr. Your work will be splitted into different task.

-Load open data sets to server

-prepare script to globally rework the mapping, data preparation

-create good / strong data hierarchy for languages, types, phenoms

-Create Jupyter notebook for speech synthesizing

-create seperate jupyter notebook for training (the engine should be able to do trainings with checkpoints to later continue training with smaller amount of data without retraining ALL)

-create jupyter notebook for testing/demo

-create RESTful API with JSON output similiar to Google Speech Synthetic API (we mean structure, wording

Compétences : Python, Architecture Logicielle, Tensorflow, Deep Learning, Machine Learning (ML)

Concernant le client :
( 7 commentaires ) Chandigarh, India

Nº du projet : #26523882

2 freelances font une offre moyenne de 375 $ pour ce travail

sajjadtaghvaeifr

Hello, I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python, etc. I have PhD from Tohoku Universit Plus

%bids___i_sum_sub_35% %project_currencyDetails_sign_sub_36% USD en 7 jours
(5 Commentaires)
3.9
MuruganR1996

I am Having very much experience in Speech recognition field. last 2 years i am working as speech engineer. i know tacotron 2 + wavernn, waveglow, melenet, and etc decoders. Give me a chance i will give my best. Ple Plus

%bids___i_sum_sub_35% %project_currencyDetails_sign_sub_36% USD en 30 jours
(0 Commentaires)
0.0