Class: Diarize::SuperVector

Inherits:
Object
  • Object
show all
Includes:
JBLAS
Defined in:
lib/diarize/super_vector.rb

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(vector) ⇒ SuperVector

Returns a new instance of SuperVector.



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# File 'lib/diarize/super_vector.rb', line 25

def initialize(vector)
  @vector = vector
end

Instance Attribute Details

#vector ⇒ Object (readonly)

Returns the value of attribute vector.



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# File 'lib/diarize/super_vector.rb', line 23

def vector
  @vector
end

Class Method Details

.divergence(sv1, sv2) ⇒ Object 



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# File 'lib/diarize/super_vector.rb', line 72

def self.divergence(sv1, sv2)
  ubm_gaussian_weights.mul(((sv1.vector - sv2.vector) ** 2) / ubm_covariance).sum
end

.generate_from_model(model) ⇒ Object 



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# File 'lib/diarize/super_vector.rb', line 29

def self.generate_from_model(model)
  # Generates a supervector from a LIUM GMM
  dim = model.nb_of_components * model.components.get(0).dim
  vector = DoubleMatrix.new(1, dim)
  model.nb_of_components.times do |k|
    gaussian = model.components.get(k)
    gaussian.dim.times do |i|
      vector[k * gaussian.dim + i] = gaussian.mean(i)
    end
  end
  SuperVector.new(vector)
end

.ubm_covariance ⇒ Object 



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# File 'lib/diarize/super_vector.rb', line 57

def self.ubm_covariance
  # Returns a vector of diagonal covariances, same dimension as speaker's super vectors
  @@ubm_covariance ||= (
    ubm = Speaker.ubm
    cov = DoubleMatrix.new(1, ubm.supervector.dim)
    ubm.model.nb_of_components.times do |k|
      gaussian = ubm.model.components.get(k)
      gaussian.dim.times do |i|
        cov[k * gaussian.dim + i] = gaussian.getCovariance(i, i)
      end
    end
    cov
  )
end

.ubm_gaussian_weights ⇒ Object 



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# File 'lib/diarize/super_vector.rb', line 42

def self.ubm_gaussian_weights
  # Returns a vector of gaussian weights, same dimension as speaker's super vectors
  @@ubm_gaussian_weights ||= (
    ubm = Speaker.ubm
    weights = DoubleMatrix.new(1, ubm.supervector.dim)
    ubm.model.nb_of_components.times do |k|
      gaussian = ubm.model.components.get(k)
      gaussian.dim.times do |i|
        weights[k * gaussian.dim + i] = gaussian.weight
      end
    end
    weights
  )
end

Instance Method Details

#dim ⇒ Object 



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# File 'lib/diarize/super_vector.rb', line 76

def dim
  @vector.columns
end

#hash ⇒ Object 



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# File 'lib/diarize/super_vector.rb', line 80

def hash
  @vector.hash
end