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Data Scientist II Speech

2.00 to 7.00 Years   Bangalore   19 Sep, 2019
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryConsumer Durables / Electronics
Functional AreaSales / BD
EmploymentTypeFull-time

Job Description

  • The potential candidates need to be well versed in classical speech processing methodologies like hidden Markov models (HMMs) , Gaussian mixture models (GMMs) , Artificial neural networks (ANNs) , Language modelling etc.
  • Good understanding of usual machine learning (ML) tools is very important.
  • Hands-on experience of current deep learning (DL) techniques like convolutional neural networks (CNNs) , recurrent neural networks (RNNs) , long-term short-term memory (LSTM) , connectionist temporal classification (CTC) etc used for speech processing is essential.
  • Hands-on coding experience in ML friendly languages like python and knowledge of open source ML/DL libraries is needed in order to implement the ideas into working proof-of-concepts (PoCs).
  • Experience of working with ASR systems like HTK , DeepSpeech or similar is extremely desirable.
  • Preferably should have published their research in conferences and journals of repute.
  • ,

    Keyskills :
    machinelearning python dataanalysis sql analytics hiddenmarkovmodels opensource deeplearning markovmodels codingexperience speechprocessing positionmanagement ml rtificialneuralnetw ks neuralnetw ks

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