From a474e0ed7ee7ff32692fe13281cf4aff69bef756 Mon Sep 17 00:00:00 2001
From: Calvin <179209347@qq.com>
Date: Tue, 21 Sep 2021 14:04:12 +0800
Subject: [PATCH] no message
---
speech_sdks/fft_sdk/README.md | 86 ++-----
speech_sdks/fft_sdk/pom.xml | 5 +
.../java/me/calvin/example/FFTExample.java | 9 +-
.../java/me/calvin/example/utils/FFT.java | 198 ++++++--------
speech_sdks/ndarray_audio_sdk/README.md | 66 +++++
.../lib/jlibrosa-1.1.8-SNAPSHOT.jar | Bin 0 -> 2527720 bytes
.../ndarray_audio_sdk/ndarray_audio_sdk.iml | 222 ++++++++++++++++
speech_sdks/ndarray_audio_sdk/pom.xml | 119 +++++++++
.../java/me/calvin/aias/AudioExample.java | 40 +++
.../me/calvin/aias/util/AudioArrayUtils.java | 218 ++++++++++++++++
.../java/me/calvin/aias/util/AudioUtils.java | 241 ++++++++++++++++++
.../main/java/me/calvin/aias/util/FFT.java | 91 +++++++
.../src/main/resources/log4j2.xml | 17 ++
.../src/test/resources/audio.wav | Bin 0 -> 98958 bytes
.../src/test/resources/test.wav | Bin 0 -> 268524 bytes
15 files changed, 1117 insertions(+), 195 deletions(-)
create mode 100644 speech_sdks/ndarray_audio_sdk/README.md
create mode 100644 speech_sdks/ndarray_audio_sdk/lib/jlibrosa-1.1.8-SNAPSHOT.jar
create mode 100644 speech_sdks/ndarray_audio_sdk/ndarray_audio_sdk.iml
create mode 100644 speech_sdks/ndarray_audio_sdk/pom.xml
create mode 100644 speech_sdks/ndarray_audio_sdk/src/main/java/me/calvin/aias/AudioExample.java
create mode 100644 speech_sdks/ndarray_audio_sdk/src/main/java/me/calvin/aias/util/AudioArrayUtils.java
create mode 100644 speech_sdks/ndarray_audio_sdk/src/main/java/me/calvin/aias/util/AudioUtils.java
create mode 100644 speech_sdks/ndarray_audio_sdk/src/main/java/me/calvin/aias/util/FFT.java
create mode 100644 speech_sdks/ndarray_audio_sdk/src/main/resources/log4j2.xml
create mode 100644 speech_sdks/ndarray_audio_sdk/src/test/resources/audio.wav
create mode 100644 speech_sdks/ndarray_audio_sdk/src/test/resources/test.wav
diff --git a/speech_sdks/fft_sdk/README.md b/speech_sdks/fft_sdk/README.md
index 11483ad4..aae83512 100644
--- a/speech_sdks/fft_sdk/README.md
+++ b/speech_sdks/fft_sdk/README.md
@@ -8,84 +8,34 @@
## 运行例子 - FFTExample
-
-核心算法：
```text
- /**
- * Performs Fast Fourier Transformation in place.
- */
- public void process(double[] signal) {
- final int numPoints = signal.length;
- // initialize real & imag array
- real = signal;
- imag = new double[numPoints];
+...
+ String audioFilePath = "src/test/resources/audio.wav";
+ //-1 value implies the method to use default sample rate
+ int defaultSampleRate = -1;
+ //-1 value implies the method to process complete audio duration
+ int defaultAudioDuration = -1;
- // perform FFT using the real & imag array
- final double pi = Math.PI;
- final int numStages = (int) (Math.log(numPoints) / Math.log(2));
- final int halfNumPoints = numPoints >> 1;
- int j = halfNumPoints;
- // FFT time domain decomposition carried out by "bit reversal sorting"
- // algorithm
- int k;
- for (int i = 1; i < numPoints - 2; i++) {
- if (i < j) {
- // swap
- double tempReal = real[j];
- double tempImag = imag[j];
- real[j] = real[i];
- imag[j] = imag[i];
- real[i] = tempReal;
- imag[i] = tempImag;
- }
- k = halfNumPoints;
- while (k <= j) {
- j -= k;
- k >>= 1;
- }
- j += k;
- }
+ JLibrosa jLibrosa = new JLibrosa();
- // loop for each stage
- for (int stage = 1; stage <= numStages; stage++) {
- int LE = 1;
- for (int i = 0; i < stage; i++) {
- LE <<= 1;
- }
- final int LE2 = LE >> 1;
- double UR = 1;
- double UI = 0;
- // calculate sine & cosine values
- final double SR = Math.cos(pi / LE2);
- final double SI = -Math.sin(pi / LE2);
- // loop for each sub DFT
- for (int subDFT = 1; subDFT <= LE2; subDFT++) {
- // loop for each butterfly
- for (int butterfly = subDFT - 1; butterfly <= numPoints - 1; butterfly += LE) {
- int ip = butterfly + LE2;
- // butterfly calculation
- double tempReal = (double) (real[ip] * UR - imag[ip] * UI);
- double tempImag = (double) (real[ip] * UI + imag[ip] * UR);
- real[ip] = real[butterfly] - tempReal;
- imag[ip] = imag[butterfly] - tempImag;
- real[butterfly] += tempReal;
- imag[butterfly] += tempImag;
- }
+ // To read the magnitude values of audio files - equivalent to librosa.load('../audio.wav', sr=None)
+ float audioFeatureValues[] = jLibrosa.loadAndRead(audioFilePath, defaultSampleRate, defaultAudioDuration);
- double tempUR = UR;
- UR = tempUR * SR - UI * SI;
- UI = tempUR * SI + UI * SR;
- }
- }
- }
+ double[] arr = IntStream.range(0, audioFeatureValues.length).mapToDouble(i -> audioFeatureValues[i]).toArray();
+ double[] fft = FFT.fft(arr);
+ float[][] complex = FFT.rfft(fft);
+
+ System.out.println("Real parts: " + Arrays.toString(complex[0]));
+ System.out.println("Imaginary parts: " + Arrays.toString(complex[1]));
+...
````
运行成功后，命令行应该看到下面的信息:
```text
# 复数的实部
-Real parts: [0.002560000019002473, 8.446425149266073E-5, ..., 8.446425149266079E-5]
+Real parts: [-1.8461201, -1.1128254, 0.58502156, 2.6774616, -1.7226994, ..., 0.15794027]
# 复数的虚部
-Imaginary parts: [0.0, 8.056758864562464E-4, 4.0390382669844993E-4, ..., -8.056758864562461E-4]
+Imaginary parts: [0.0, 1.2845019, 2.8104274, -1.3958083, 1.2868061, ..., -0.3447435, 0.0]
```
diff --git a/speech_sdks/fft_sdk/pom.xml b/speech_sdks/fft_sdk/pom.xml
index 971a180e..1bdceca6 100644
--- a/speech_sdks/fft_sdk/pom.xml
+++ b/speech_sdks/fft_sdk/pom.xml
@@ -63,6 +63,11 @@
guava
21.0
+
+ com.github.wendykierp
+ JTransforms
+ 3.1
+
jlibrosa
jlibrosa
diff --git a/speech_sdks/fft_sdk/src/main/java/me/calvin/example/FFTExample.java b/speech_sdks/fft_sdk/src/main/java/me/calvin/example/FFTExample.java
index 8d073938..5eee3534 100644
--- a/speech_sdks/fft_sdk/src/main/java/me/calvin/example/FFTExample.java
+++ b/speech_sdks/fft_sdk/src/main/java/me/calvin/example/FFTExample.java
@@ -24,19 +24,20 @@ public class FFTExample {
// To read the magnitude values of audio files - equivalent to librosa.load('../audio.wav', sr=None)
float audioFeatureValues[] = jLibrosa.loadAndRead(audioFilePath, defaultSampleRate, defaultAudioDuration);
- FFT fft = new FFT();
double[] arr = IntStream.range(0, audioFeatureValues.length).mapToDouble(i -> audioFeatureValues[i]).toArray();
// double[] arrTest = {0, 1, 0, 0};
//Arrays.copy for testing purpose
- fft.process(Arrays.copyOf(arr, 32));
+
+ double[] fft = FFT.fft(arr);
+ float[][] complex = FFT.rfft(fft);
// int stride_size = 160;
// int window_size = 320;
// int truncate_size = (audioFeatureValues.length - window_size) % stride_size;
// int length = audioFeatureValues.length - truncate_size;
- System.out.println("Real parts: " + Arrays.toString(fft.getReal()));
- System.out.println("Imaginary parts: " + Arrays.toString(fft.getImag()));
+ System.out.println("Real parts: " + Arrays.toString(complex[0]));
+ System.out.println("Imaginary parts: " + Arrays.toString(complex[1]));
}
diff --git a/speech_sdks/fft_sdk/src/main/java/me/calvin/example/utils/FFT.java b/speech_sdks/fft_sdk/src/main/java/me/calvin/example/utils/FFT.java
index 9b396723..bcb90ebb 100644
--- a/speech_sdks/fft_sdk/src/main/java/me/calvin/example/utils/FFT.java
+++ b/speech_sdks/fft_sdk/src/main/java/me/calvin/example/utils/FFT.java
@@ -1,135 +1,87 @@
-/*
-OC Volume - Java Speech Recognition Engine
-Copyright (c) 2002-2004, OrangeCow organization
-All rights reserved.
-Redistribution and use in source and binary forms,
-with or without modification, are permitted provided
-that the following conditions are met:
- * Redistributions of source code must retain the
-above copyright notice, this list of conditions
-and the following disclaimer.
- * Redistributions in binary form must reproduce the
-above copyright notice, this list of conditions
-and the following disclaimer in the documentation
-and/or other materials provided with the
-distribution.
- * Neither the name of the OrangeCow organization
-nor the names of its contributors may be used to
-endorse or promote products derived from this
-software without specific prior written
-permission.
-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS
-AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED
-WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
-IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
-FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO
-EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
-LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
-SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
-(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
-SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA,
-OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
-CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
-NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF
-THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-POSSIBILITY OF SUCH DAMAGE.
-Contact information:
-Please visit http://ocvolume.sourceforge.net.
- */
package me.calvin.example.utils;
+import org.jtransforms.fft.DoubleFFT_1D;
+
/**
- * Fast Fourier Transform.
- *
- * last updated on June 15, 2002
- * description: FFT class for real signals. Upon entry, N contains the
- * numbers of points in the DFT, real[] and imaginary[] contain the real and
- * imaginary parts of the input. Upon return, real[] and imaginary[] contain the
- * DFT output. All signals run from 0 to N - 1
- * input: speech signal
- * output: real and imaginary part of DFT output
- *
- * @author Danny Su
- * @author Hanns Holger Rutz
+ * A Fast Fourier Transform wrapper for jTransforms to provide similar functionality to numpy.fft
+ * functions used by the Blowhole Python implementation.
*/
public class FFT {
- private double[] real;
- private double[] imag;
- public double[] getReal() {
- return real;
- }
+ /**
+ * Compute the fast fourier transform
+ *
+ * @param raw the raw signal
+ * @return the computed fast fourier transform
+ */
+ public static double[] fft(double[] raw) {
+ double[] in = raw;
+ DoubleFFT_1D fft = new DoubleFFT_1D(in.length);
+ fft.realForward(in);
+ return in;
+ }
- public double[] getImag() {
- return imag;
- }
+ /**
+ * Computes the physical layout of the fast fourier transform.
+ * See jTransform documentation for more information.
+ * http://incanter.org/docs/parallelcolt/api/edu/emory/mathcs/jtransforms/fft/DoubleFFT_1D.html#realForward(double[])
+ *
+ * @param fft the fast fourier transform
+ */
+ public static float[][] rfft(double[] fft) {
+ float[][] result = null;
- /**
- * Performs Fast Fourier Transformation in place.
- */
- public void process(double[] signal) {
- final int numPoints = signal.length;
- // initialize real & imag array
- real = signal;
- imag = new double[numPoints];
+ int n = fft.length;
+ if (n % 2 == 0) {
+ // n is even
+ result = new float[2][n / 2 + 1];
+ for (int i = 0; i < n / 2; i++) {
+ result[0][i] = (float) fft[2 * i]; //the real part fo the fast fourier transform
+ result[1][i] = (float) fft[2 * i + 1]; //the imaginary part of the fast fourier transform
+ }
+ result[1][0] = 0;
+ result[0][n / 2] = (float) fft[1];
+ } else {
+ // n is odd
+ result = new float[2][(n + 1) / 2];
+ for (int i = 0; i < n / 2; i++) {
+ result[0][i] = (float) fft[2 * i]; //the real part fo the fast fourier transform
+ result[1][i] = (float) fft[2 * i + 1]; //the imaginary part of the fast fourier transform
+ }
+ result[1][0] = 0;
+ result[1][(n - 1) / 2] = (float) fft[1];
- // perform FFT using the real & imag array
- final double pi = Math.PI;
- final int numStages = (int) (Math.log(numPoints) / Math.log(2));
- final int halfNumPoints = numPoints >> 1;
- int j = halfNumPoints;
- // FFT time domain decomposition carried out by "bit reversal sorting"
- // algorithm
- int k;
- for (int i = 1; i < numPoints - 2; i++) {
- if (i < j) {
- // swap
- double tempReal = real[j];
- double tempImag = imag[j];
- real[j] = real[i];
- imag[j] = imag[i];
- real[i] = tempReal;
- imag[i] = tempImag;
- }
- k = halfNumPoints;
- while (k <= j) {
- j -= k;
- k >>= 1;
- }
- j += k;
- }
+ }
- // loop for each stage
- for (int stage = 1; stage <= numStages; stage++) {
- int LE = 1;
- for (int i = 0; i < stage; i++) {
- LE <<= 1;
- }
- final int LE2 = LE >> 1;
- double UR = 1;
- double UI = 0;
- // calculate sine & cosine values
- final double SR = Math.cos(pi / LE2);
- final double SI = -Math.sin(pi / LE2);
- // loop for each sub DFT
- for (int subDFT = 1; subDFT <= LE2; subDFT++) {
- // loop for each butterfly
- for (int butterfly = subDFT - 1; butterfly <= numPoints - 1; butterfly += LE) {
- int ip = butterfly + LE2;
- // butterfly calculation
- double tempReal = (double) (real[ip] * UR - imag[ip] * UI);
- double tempImag = (double) (real[ip] * UI + imag[ip] * UR);
- real[ip] = real[butterfly] - tempReal;
- imag[ip] = imag[butterfly] - tempImag;
- real[butterfly] += tempReal;
- imag[butterfly] += tempImag;
- }
+ return result;
+ }
- double tempUR = UR;
- UR = tempUR * SR - UI * SI;
- UI = tempUR * SI + UI * SR;
- }
- }
- }
+
+ public static float[] abs(float[][] complex) {
+ float[] re = complex[0]; //the real part fo the fast fourier transform
+ float[] im = complex[1]; //the imaginary part of the fast fourier transform
+ float[] abs = new float[re.length];
+ for (int i = 0; i < re.length; i++) {
+ abs[i] = (float) Math.hypot(re[i], im[i]);
+ }
+ return abs;
+ }
+
+ /**
+ * Returns the Discrete Fourier Transform sample frequencies.
+ * See numpy.fft.rfftfreq for more information.
+ *
+ * @param n Window length
+ * @param d Sample spacing
+ * @return Array of length n + 1 containing the sample frequencies
+ */
+ public static double[] rfftfreq(int n, double d) {
+ double val = 1.0 / (n * d);
+ int N = n / 2 + 1;
+ double[] results = new double[N];
+ for (int i = 0; i < N; i++) {
+ results[i] = i * val;
+ }
+ return results;
+ }
}
\ No newline at end of file
diff --git a/speech_sdks/ndarray_audio_sdk/README.md b/speech_sdks/ndarray_audio_sdk/README.md
new file mode 100644
index 00000000..8a942765
--- /dev/null
+++ b/speech_sdks/ndarray_audio_sdk/README.md
@@ -0,0 +1,66 @@
+## NDArray 高级音频工具箱
+
+当前功能包括：
+- 获取音频文件的float数组
+- 保存音频文件
+- 创建给定持续时间和采样率的静音音频段
+- 在这个音频样本上加一段静音
+- 将任意数量的语音片段连接在一起
+- 生成以分贝为单位的音频均方根能量
+- 将音频归一化，使其具有所需的有效值(以分贝为单位)
+- 用快速傅里叶变换计算线性谱图
+- Hanning窗
+- 从wav提取mel频谱特征值
+
+
+## 运行例子 - AudioExample
+```text
+...
+ NDManager manager = NDManager.newBaseManager(Device.cpu());
+ float[] floatArray = AudioArrayUtils.floatData("src/test/resources/test.wav");
+ //音频的float数组
+ logger.info("音频的float数组: {}", Arrays.toString(floatArray));
+
+ NDArray samples = manager.create(floatArray);
+ float rmsDb = AudioUtils.rmsDb(samples);
+ //返回以分贝为单位的音频均方根能量
+ logger.info("音频均方根能量: {}", rmsDb);
+
+ //提取特征前将音频归一化至-20 dB(以分贝为单位)
+ float target_dB = -20f;
+ samples = AudioUtils.normalize(samples, target_dB);
+ System.out.println("音频归一化: " + samples.toDebugString(1000000000, 1000, 1000, 1000));
+
+ //生成帧的跨步大小(以毫秒为单位)
+ float stride_ms = 10f;
+ //用于生成帧的窗口大小(毫秒)
+ float window_ms = 20f;
+ samples = AudioUtils.linearSpecgram(manager, samples, stride_ms, window_ms);
+ logger.info("快速傅里叶变换计算线性谱图: {}", samples.toDebugString(1000000000, 1000, 10, 1000));...
+
+```
+
+命令行查看输出：
+```text
+...
+[INFO ] - 音频均方根能量: -28.989937
+
+[INFO ] - 音频归一化: ND: (134240) cpu() float32
+[ 3.09278257e-03, 3.26460390e-03, 1.71821259e-04, ... 133240 more]
+
+[INFO ] - 快速傅里叶变换计算线性谱图: ND: (161, 838) cpu() float32
+[[-15.4571, -16.4412, -16.7098, -20.372 , -23.9935, -15.8598, -17.1589, -15.5935, ..., -14.3427],
+ [-15.948 , -16.8391, -16.8302, -17.8034, -19.115 , -15.8378, -19.4812, -15.7247, ..., -14.7543],
+ [-20.8405, -18.5733, -19.4289, -19.1861, -19.4255, -18.1996, -18.0149, -18.977 , ..., -17.5405],
+ [-19.1938, -21.0139, -21.07 , -20.2931, -20.23 , -22.3037, -20.1103, -21.3521, ..., -20.2267],
+ [-19.7823, -21.2425, -21.5705, -19.9856, -21.6053, -20.9323, -22.4014, -21.5406, ..., -20.1177],
+ [-20.0329, -23.9688, -20.718 , -20.9419, -23.5446, -21.1718, -22.1597, -20.9377, ..., -21.3833],
+ [-19.3693, -21.0484, -21.1794, -20.765 , -20.6318, -20.5121, -21.7306, -20.6366, ..., -21.5107],
+ [-18.6552, -20.0077, -20.6954, -20.5476, -19.7953, -21.1081, -22.0988, -20.7157, ..., -20.6352],
+ [-18.9167, -19.3219, -20.1954, -24.7476, -20.7662, -20.3794, -24.4699, -22.1381, ..., -22.1803],
+ [-19.3055, -19.4264, -20.4486, -22.8299, -21.0847, -23.5101, -20.4897, -19.7943, ..., -22.8922],
+ ... 151 more]
+
+...
+```
+
diff --git a/speech_sdks/ndarray_audio_sdk/lib/jlibrosa-1.1.8-SNAPSHOT.jar b/speech_sdks/ndarray_audio_sdk/lib/jlibrosa-1.1.8-SNAPSHOT.jar
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