org.bytedeco.tensorflow

Class AudioSpectrogram

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.tensorflow.AudioSpectrogram

All Implemented Interfaces:

AutoCloseable

@Namespace(value="tensorflow::ops")
 @NoOffset
 @Properties(inherit=tensorflow.class)
public class AudioSpectrogram
extends Pointer

\defgroup audio_ops Audio Ops \{

Produces a visualization of audio data over time. Spectrograms are a standard way of representing audio information as a series of slices of frequency information, one slice for each window of time. By joining these together into a sequence, they form a distinctive fingerprint of the sound over time. This op expects to receive audio data as an input, stored as floats in the range -1 to 1, together with a window width in samples, and a stride specifying how far to move the window between slices. From this it generates a three dimensional output. The first dimension is for the channels in the input, so a stereo audio input would have two here for example. The second dimension is time, with successive frequency slices. The third dimension has an amplitude value for each frequency during that time slice. This means the layout when converted and saved as an image is rotated 90 degrees clockwise from a typical spectrogram. Time is descending down the Y axis, and the frequency decreases from left to right. Each value in the result represents the square root of the sum of the real and imaginary parts of an FFT on the current window of samples. In this way, the lowest dimension represents the power of each frequency in the current window, and adjacent windows are concatenated in the next dimension. To get a more intuitive and visual look at what this operation does, you can run tensorflow/examples/wav_to_spectrogram to read in an audio file and save out the resulting spectrogram as a PNG image. Arguments: * scope: A Scope object * input: Float representation of audio data. * window_size: How wide the input window is in samples. For the highest efficiency this should be a power of two, but other values are accepted. * stride: How widely apart the center of adjacent sample windows should be. Optional attributes (see Attrs): * magnitude_squared: Whether to return the squared magnitude or just the magnitude. Using squared magnitude can avoid extra calculations. Returns: * Output: 3D representation of the audio frequencies as an image.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AudioSpectrogram.Attrs Optional attribute setters for AudioSpectrogram

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
AudioSpectrogram(Pointer p) Pointer cast constructor.
AudioSpectrogram(Scope scope, Input input, long window_size, long stride)
AudioSpectrogram(Scope scope, Input input, long window_size, long stride, AudioSpectrogram.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
Input	asInput()
Output	asOutput()
static AudioSpectrogram.Attrs	MagnitudeSquared(boolean x)
Node	node()
Operation	operation()
AudioSpectrogram	operation(Operation setter)
Output	spectrogram()
AudioSpectrogram	spectrogram(Output setter)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getDirectBufferAddress, getPointer, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

AudioSpectrogram

public AudioSpectrogram(Pointer p)

Pointer cast constructor. Invokes Pointer(Pointer).

AudioSpectrogram

public AudioSpectrogram(@Const @ByRef
                        Scope scope,
                        @ByVal
                        Input input,
                        @Cast(value="tensorflow::int64")
                        long window_size,
                        @Cast(value="tensorflow::int64")
                        long stride)

AudioSpectrogram

public AudioSpectrogram(@Const @ByRef
                        Scope scope,
                        @ByVal
                        Input input,
                        @Cast(value="tensorflow::int64")
                        long window_size,
                        @Cast(value="tensorflow::int64")
                        long stride,
                        @Const @ByRef
                        AudioSpectrogram.Attrs attrs)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public Input asInput()

node

public Node node()

MagnitudeSquared

@ByVal
public static AudioSpectrogram.Attrs MagnitudeSquared(@Cast(value="bool")
                                                              boolean x)

operation

@ByRef
public Operation operation()

operation

public AudioSpectrogram operation(Operation setter)

spectrogram

@ByRef
public Output spectrogram()

spectrogram

public AudioSpectrogram spectrogram(Output setter)