Artificial Intelligence Engineer
2 weeks ago
Responsibility :
- Development of ASR engine using frameworks like ESPNET or FairSeq or Athena or Deep Speech using PyTorch or Tensorflow or Kaldi.
- Working on speech tech like Multilingual ASR, Contextual biasing, Text to Speech, Voice Biometric, speaker separation, and so on.
- Assist to define technology required for Speech Technology besides core engine and to design integration of these technologies.
- Work on improvement of adapting the model to multiple domains and channels.
Desired experience :
- If fresher, projects should be in alignment with our domain.
- Good understanding of signal processing, 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.
- Experience in working with low-latency and optimization techniques.
- Understanding of traditional speech decoders.
- Hands-on experience current deep learning (DL) techniques like Convolutional neural networks (CNNs), recurrent neural networks (RNNs), long-term short-term memory (LSTM), connectionist temporal classification (CTC), Transformer, etc used for speech processing is essential.
- The candidate should have hands-on experience and any of the end-to-end implementation of ASR tools such as ESPNET or FairSeq or Athena or Deep Speech
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