Principal Architect - Speech Recognition Job in Reverie Language Technologies Limited

Principal Architect - Speech Recognition

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Job Summary

**12+ years of industry experience and minimum 5-6 years of relevant experience.

Responsibility:

  • Development of ASR engine using frameworks like DeepSpeech, Kaldi, wav2letter, Pytorch-Kaldi, CMU Sphinx

  • Assist to define technology required for Speech to Text services besides core engine and to design integration of these technologies.

  • Work on improvement of model's accuracy and guide the team with best practices.

  • Lead a team of 3-5 members


  • Desired experience:

  • Good understanding of machine learning(ML) tools.

  • Should be well versed in classical speech processing methodologies like hidden Markov models (HMMs), Gaussian mixture models (GMMs), Artificial neural networks (ANNs), Language modeling, etc.

  • 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.

  • The candidate should have hands-on experience with open source tools such as Kaldi, Pytorch-Kaldi.

  • Familiarity with any of the end-to-end ASR tools such as ESPNET or EESEN or Deep Speech Pytorch is desirable.

  • The candidate should have a good understanding of WFSTs as implemented in OpenFST and Kaldi and should be able to modify the WFST decoder as per the application requirements.

  • Experience in techniques used for resolving issues related to accuracy, noise, confidence scoring etc.

  • Ability to implement recipes using scripting languages like bash and perl

  • Ability to develop applications using python, c++, Java

  • Experience Required :

    12 to 16 Years

    Vacancy :

    2 - 4 Hires

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