Research Assistant

5 days left

05 Nov 2020
End of advertisement period
05 Dec 2020
Contract Type
Full Time

Temasek Laboratories @ NTU invites applications for the position of Research Assistant.

The project studies algorithms for low resource automatic speech recognition (ASR) under cross-domain conditions for real-world applications. This is a challenging problem which is receiving much attention in the ASR research community recently, and research in low-resource and cross-domain is an on-going issue in the ASR research community.

The candidate will work to meet project requirements, specifically focusing on the low-resource and cross-domain ASR algorithms research.

Key Responsibilities:

  • Data preparation of text and acoustic data to train ASR system
  • Lexicon modeling, adding new words and corresponding pronunciation to the lexicon
  • Language modeling, update language models, and state-of-the-art neural network language modeling
  • Training state-of-the-art ASR system using Kaldi and new end-to-end toolkit

Job Requirements:

  • Bachelor's degree in computer science/engineering or related fields
  • At least one-year ASR engineer experience on training speech recognition models including acoustic models, language models, and End-to-End ASR models
  • Experience with Speech Recognition and AI frameworks including KALDI, tensorflow, and pytorch
  • Possessing research experience and publications in ASR and its related fields is preferable
  • Strong in programming languages, i.e. C/C++, scripting languages as python, perl
  • Strong experience in working with Linux OS environment and high-performance computing cluster
  • Familiar with Linux bash/shell packages such as awk, sed

We regret that only shortlisted candidates will be notified.

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