Mfcc

public final class Mfcc

Transforms a spectrogram into a form that's useful for speech recognition.

Mel Frequency Cepstral Coefficients are a way of representing audio data that's been effective as an input feature for machine learning. They are created by taking the spectrum of a spectrogram (a 'cepstrum'), and discarding some of the higher frequencies that are less significant to the human ear. They have a long history in the speech recognition world, and https://en.wikipedia.org/wiki/Mel-frequency_cepstrum is a good resource to learn more.

Nested Classes

class Mfcc.Options Optional attributes for Mfcc

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<TFloat32>	asOutput() Returns the symbolic handle of the tensor.
static Mfcc	create(Scope scope, Operand<TFloat32> spectrogram, Operand<TInt32> sampleRate, Options... options) Factory method to create a class wrapping a new Mfcc operation.
static Mfcc.Options	dctCoefficientCount(Long dctCoefficientCount)
static Mfcc.Options	filterbankChannelCount(Long filterbankChannelCount)
static Mfcc.Options	lowerFrequencyLimit(Float lowerFrequencyLimit)
Output<TFloat32>	output()
static Mfcc.Options	upperFrequencyLimit(Float upperFrequencyLimit)

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

From interface org.tensorflow.Operand

abstract Output<TFloat32>	asOutput() Returns the symbolic handle of the tensor.
abstract TFloat32	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the `Output` of this operand.
abstract Class<TFloat32>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "Mfcc"

Public Methods

public Output<TFloat32> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static Mfcc create (Scope scope, Operand<TFloat32> spectrogram, Operand<TInt32> sampleRate, Options... options)

Factory method to create a class wrapping a new Mfcc operation.

Parameters

scope	current scope
spectrogram	Typically produced by the Spectrogram op, with magnitude_squared set to true.
sampleRate	How many samples per second the source audio used.
options	carries optional attributes values

Returns

a new instance of Mfcc

public static Mfcc.Options dctCoefficientCount (Long dctCoefficientCount)

Parameters

dctCoefficientCount	How many output channels to produce per time slice.

public static Mfcc.Options filterbankChannelCount (Long filterbankChannelCount)

Parameters

filterbankChannelCount	Resolution of the Mel bank used internally.

public static Mfcc.Options lowerFrequencyLimit (Float lowerFrequencyLimit)

Parameters

lowerFrequencyLimit	The lowest frequency to use when calculating the ceptstrum.

public Output<TFloat32> output ()

public static Mfcc.Options upperFrequencyLimit (Float upperFrequencyLimit)

Parameters

upperFrequencyLimit	The highest frequency to use when calculating the ceptstrum.