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Internship in the field of Deep Learning for automatic speech recognition, Europe



Europe, Italy 

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Job Description:

The SpeechTek research unit (speechtek.fbk.eu) offers an international and stimulating research environment for students willing to enrich their background in deep learning for automatic speech recognition. Under the strict supervision of senior researchers, students will investigate and compare advanced deep-learning approaches applied to the speech recognition field.

Internship goals:

Usually, for each language at hand a specific acoustic model is trained from scratch but this limits the potential of DNNs when only limited data is available. Hence it is of major interest to investigate solutions where a multi-lingual model is trained a

Required knowledge and skills:

signal and speech processing; deep learning frameworks: tensorflow, pytorch; speech recognition toolkit: kaldi; linux environment

Desired Degree: Msc in ICT, engineering or related fields

Internship info:

3 to 6 months from June 2018


- Applications must be submitted by clicking on “Apply Online” at the bottom of this page. Please make sure to attach your CV and short cover letter as one single file.

- FBK Internship opportunities are open to students (pre-lauream internship) and post-graduates (within 12 months from graduation - post lauream internship) only

- According to the Italian law, post-graduate internships can last up to 6 months and must be activated within 12 months from the graduation.

For further information please reach out to matasso@fbk.eu.

Company Info
Fondazione Bruno Kessler

, Italy
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