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A Tensorflow-2 Implementation of DNN based Speech Recognition/Speaker Verification Models

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Speaker Verification (Tensorflow-2)

A Tensorflow-2 Repository containing implementation of DNN architectures for Speaker Identification/Speaker Verification. The results of the models along with detailed analysis will be available here. For the purpose of training and testing a smaller version of VoxCeleb dataset containing audio samples of only Indian Celebritites is used in this project in order to facilitate faster prototyping.

Models Implemented

  • Baseline CNN Model
  • Temporal Convolutional Network
  • Siamese Capsule Network(Implementation Here)
  • RawNet
  • ResDefNet

Dataset

Paper Links

  1. Rawnet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification
  2. Siamese Capsule Network For End-to-end Speaker Recognition In The Wild
  3. Time-domain Speaker Verification Using Temporal Convolutional Networks
  4. Speaker Verification System Based on Deformable CNN and Time-Frequency Attention

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A Tensorflow-2 Implementation of DNN based Speech Recognition/Speaker Verification Models

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