Index

A

add() (probability.gaussian.GaussianAccumulator method) addFromSampler() (probability.gaussian.GaussianAccumulator method) AlwaysProposer (class in noise.sample_observation_density) AlwaysSampler (class in probability.sampler)

appendChannelPhase() (in module noise.factor_integrand) appendSubstitute() (in module noise.factor_integrand) appendToTuple() (in module probability.sequential_importance_resample) appendToVector() (in module probability.sequential_importance_resample)

B

BoundFunctionPromise (class in promise.promise)

C

Categorical (class in probability.categorical) computeHash() (promise.promise.Promise method) ConditionalDistribution (built-in class)

consistentHash() (in module tools.consistent_hash) CorruptedSpeechSampler (class in noise.corrupted_speech_sampler)

D

dct() (in module speech.dct) deltas() (probability.categorical.Categorical method) density() (noise.sample_observation_density.SampleObservationDensity method) (ProbabilityDistribution method) (probability.gaussian.Gaussian method) (probability.mixture.Mixture method) (probability.uniform.Uniform method) densityWeighter() (in module probability.sequential_importance_resample) determinant() (in module tools.linear_algebra)

diagonaliseCepstral() (in module speech.diagonalise_cepstral) distribution() (probability.gaussian.GaussianAccumulator method) dpmcCompensate() (in module noise.dpmc) drop() (in module tools.iterator_tools) DummyFactor (class in noise.sample_observation_density)

E

evaluate() (promise.fulfill.MemoFulfill method) (promise.promise.Promise method)

F

factorise() (probability.mixture.Mixture method) factoriseGaussian() (in module probability.gaussian) factoriseGaussianCompletely() (in module probability.gaussian)

FulfillDisk (class in promise.fulfill_disk) FunctionPromise (class in promise.promise)

G

Gaussian (class in probability.gaussian) GaussianAccumulator (class in probability.gaussian) getAll() (promise.promise.Promise method) getCovariance() (probability.gaussian.Gaussian method) getExponent() (probability.log_float.LogFloat method)

getParentClasses() (promise.promise.Promise method) getPrecision() (probability.gaussian.Gaussian method) getShallow() (promise.promise.Promise method) getUnrememberedPromises() (promise.fulfill.MemoFulfill method) given() (ConditionalDistribution method) (noise.factor_integrand.PostponedFactorGenerator method) (noise.factor_integrand.QuasiConditionalFactorGenerator method) (noise.sample_observation_density.DummyFactor method)

I

IncrementalSystematicSampler (class in probability.sampler)

inverse() (in module tools.linear_algebra)

J

joinGaussians() (in module probability.gaussian)

L

log() (in module probability.log_float)

LogFloat (class in probability.log_float)

M

makePath() (promise.fulfill_disk.FulfillDisk method) makeStandardNumeric() (in module probability.log_float) mass() (probability.mixture.Mixture method) (ProbabilityDistribution method) massWeighter() (in module probability.sequential_importance_resample) melFilter() (in module speech.mel_filter)

melFilterVariance() (in module noise.phase_factor_gaussian) MemoFulfill (class in promise.fulfill) Mixture (class in probability.mixture) multinomialResampling() (in module probability.categorical)

N

noiseFrom() (in module noise.noise_environment)

O

observationFrom() (in module noise.noise_environment)

oneWeighter() (in module noise.sample_observation_density)

P

parents() (promise.promise.Promise method) PartialSample (class in noise.factor_integrand) path() (promise.fulfill_disk.FulfillDisk method) PhaseFactorGaussianSampler (class in noise.phase_factor_gaussian) PhaseProposer (class in noise.sample_observation_density) pickleableClone() (promise.fulfill_disk.FulfillDisk method)

PostponedFactorGenerator (class in noise.factor_integrand) printState() (probability.sampler.UniformUnitSampler method) ProbabilityDistribution (built-in class) Promise (class in promise.promise) PromiseProxy (class in promise.promise) proposalForFactor() (in module noise.factor_integrand)

Q

QuasiConditionalFactorGenerator (class in noise.factor_integrand)

R

readGaussian() (in module speech.model) remember() (promise.fulfill.MemoFulfill method) remembered() (promise.fulfill.MemoFulfill method)

resample() (in module probability.categorical) residualResampling() (in module probability.categorical) retrieve() (promise.fulfill.MemoFulfill method)

S

SampleObservationDensity (class in noise.sample_observation_density) sampler() (Categorical method) (Gaussian method) (Mixture method) (ProbabilityDistribution method) (probability.uniform.Uniform method) scanl() (in module tools.iterator_tools) seed() (probability.sampler.UniformUnitSampler method) sequentialImportanceResample() (in module probability.sequential_importance_resample) showProgress() (in module tools.progress)

speechFrom() (in module noise.noise_environment) splitGaussian() (in module probability.gaussian) SubstituteFactor (class in noise.factor_integrand) SubstituteFactorOneSource (class in noise.factor_integrand) substituteFrom() (in module noise.noise_environment) systematicResampling() (in module probability.categorical)

T

take() (in module tools.iterator_tools) trainGaussianMixtureFromScratch() (in module probability.mix_up)

trainMixture() (in module probability.mix_up)

U

Uniform (class in probability.uniform) UniformUnitSampler (class in probability.sampler) UnitGaussianSampler (class in probability.sampler) unitWeightSamples() (probability.categorical.Categorical method)

unnormalisedComponents() (probability.mixture.Mixture method) unnormalisedDensity() (noise.factor_integrand.SubstituteFactor method) (noise.factor_integrand.SubstituteFactorOneSource method) (probability.gaussian.Gaussian method) unnormalisedDensityWeighter() (in module probability.sequential_importance_resample)

V

ValuePromise (class in promise.promise)

vtsCompensate() (in module noise.vts)