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Rana Singh's Projects

sequencing_model_coursera icon sequencing_model_coursera

- Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. - Be able to apply sequence models to natural language problems, including text synthesis. - Be able to apply sequence models to audio applications, including speech recognition and music synthesis.

speech-emotion-analyzer icon speech-emotion-analyzer

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

stanford-mir icon stanford-mir

Instructional material for the Music Information Retrieval Workshop at CCRMA, Stanford University, 2014-18.

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