diff --git a/__init__.py b/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/data/sample.wav b/data/sample.wav new file mode 100644 index 0000000..504dc21 Binary files /dev/null and b/data/sample.wav differ diff --git a/modules/__init__.py b/modules/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/modules/audio_preprocessing.py b/modules/audio_preprocessing.py new file mode 100644 index 0000000..fc46bcc --- /dev/null +++ b/modules/audio_preprocessing.py @@ -0,0 +1,92 @@ +import numpy as np +import scipy.io.wavfile +from scipy.fftpack import dct +import matplotlib.pyplot as plt + +def emphesize_signal(signal, pre_emphasis = 0.97): + ''' Filter signal to amplify the high frequencies ''' + emphasized_signal = np.append(signal[0], signal[1:] - pre_emphasis * signal[:-1]) + return emphasized_signal + +def get_filter_banks(signal, sample_rate, frame_size = 0.025, frame_stride = 0.01, NFFT = 512, nfilt = 40): + ''' Calculate filter banks from signal ''' + emphasized_signal = emphesize_signal(signal) + + # Convert from seconds to samples + frame_length, frame_step = frame_size * sample_rate, frame_stride * sample_rate + signal_length = len(emphasized_signal) + frame_length = int(round(frame_length)) + frame_step = int(round(frame_step)) + + # Make sure that we have at least 1 frame + num_frames = int(np.ceil(float(np.abs(signal_length - frame_length)) / frame_step)) + + pad_signal_length = num_frames * frame_step + frame_length + z = np.zeros((pad_signal_length - signal_length)) + + # Pad Signal to make sure that all frames have equal number of samples + # without truncating any samples from the original signal + pad_signal = np.append(emphasized_signal, z) + + indices = np.tile(np.arange(0, frame_length), (num_frames, 1)) + np.tile(np.arange(0, num_frames * frame_step, frame_step), (frame_length, 1)).T + frames = pad_signal[indices.astype(np.int32, copy=False)] + + frames *= np.hamming(frame_length) + # frames *= 0.54 - 0.46 * np.cos((2 * np.pi * n) / (frame_length - 1)) # Explicit Implementation ** + + # Magnitude of the FFT + mag_frames = np.absolute(np.fft.rfft(frames, NFFT)) + + # Power Spectrum + pow_frames = ((1.0 / NFFT) * ((mag_frames) ** 2)) + + low_freq_mel = 0 + + # Convert Hz to Mel + high_freq_mel = (2595 * np.log10(1 + (sample_rate / 2) / 700)) + + # Equally spaced in Mel scale + mel_points = np.linspace(low_freq_mel, high_freq_mel, nfilt + 2) + + # Convert Mel to Hz + hz_points = (700 * (10**(mel_points / 2595) - 1)) + bin = np.floor((NFFT + 1) * hz_points / sample_rate) + + fbank = np.zeros((nfilt, int(np.floor(NFFT / 2 + 1)))) + for m in range(1, nfilt + 1): + f_m_minus = int(bin[m - 1]) # left + f_m = int(bin[m]) # center + f_m_plus = int(bin[m + 1]) # right + + for k in range(f_m_minus, f_m): + fbank[m - 1, k] = (k - bin[m - 1]) / (bin[m] - bin[m - 1]) + for k in range(f_m, f_m_plus): + fbank[m - 1, k] = (bin[m + 1] - k) / (bin[m + 1] - bin[m]) + filter_banks = np.dot(pow_frames, fbank.T) + filter_banks = np.where(filter_banks == 0, np.finfo(float).eps, filter_banks) # Numerical Stability + filter_banks = 20 * np.log10(filter_banks) # dB + return filter_banks + +def get_mfcc(filter_banks, num_ceps = 12): + ''' Calculate MFCC from filter banks ''' + mfcc = dct(filter_banks, type=2, axis=1, norm='ortho')[:, 1 : (num_ceps + 1)] + return mfcc + +def normalize_mfcc(mfcc, filter_banks, cep_lifter = 100): + ''' Normalize MFCC ''' + nframes, ncoeff = mfcc.shape + n = np.arange(ncoeff) + lift = 1 + (cep_lifter / 2) * np.sin(np.pi * n / cep_lifter) + mfcc *= lift + filter_banks -= (np.mean(filter_banks, axis=0)) # + 1e-8) + mfcc -= (np.mean(mfcc, axis=0)) # + 1e-8) + return mfcc + +def plot_spectrogram(spectrogram, title): + ''' Plot spectrogram ''' + plt.figure(figsize=(12, 5)) + plt.title(title) + plt.imshow(spectrogram.T, cmap=plt.cm.jet, aspect='auto') + plt.xticks(np.arange(0, (spectrogram.T).shape[1], int((spectrogram.T).shape[1] / 4))) + ax = plt.gca() + ax.invert_yaxis() \ No newline at end of file diff --git a/notebooks/.ipynb_checkpoints/audio_preprocessing_demo-checkpoint.ipynb b/notebooks/.ipynb_checkpoints/audio_preprocessing_demo-checkpoint.ipynb new file mode 100644 index 0000000..4462121 --- /dev/null +++ b/notebooks/.ipynb_checkpoints/audio_preprocessing_demo-checkpoint.ipynb @@ -0,0 +1,194 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# %load ../modules/audio_preprocessing.py\n", + "import numpy as np\n", + "import scipy.io.wavfile\n", + "from scipy.fftpack import dct\n", + "import matplotlib.pyplot as plt\n", + "\n", + "def emphesize_signal(signal, pre_emphasis = 0.97):\n", + " ''' Filter signal to amplify the high frequencies '''\n", + " emphasized_signal = np.append(signal[0], signal[1:] - pre_emphasis * signal[:-1])\n", + " return emphasized_signal\n", + "\n", + "def get_filter_banks(signal, sample_rate, frame_size = 0.025, frame_stride = 0.01, NFFT = 512, nfilt = 40):\n", + " ''' Calculate filter banks from signal '''\n", + " emphasized_signal = emphesize_signal(signal)\n", + "\n", + " # Convert from seconds to samples\n", + " frame_length, frame_step = frame_size * sample_rate, frame_stride * sample_rate\n", + " signal_length = len(emphasized_signal)\n", + " frame_length = int(round(frame_length))\n", + " frame_step = int(round(frame_step))\n", + "\n", + " # Make sure that we have at least 1 frame\n", + " num_frames = int(np.ceil(float(np.abs(signal_length - frame_length)) / frame_step))\n", + "\n", + " pad_signal_length = num_frames * frame_step + frame_length\n", + " z = np.zeros((pad_signal_length - signal_length))\n", + "\n", + " # Pad Signal to make sure that all frames have equal number of samples \n", + " # without truncating any samples from the original signal\n", + " pad_signal = np.append(emphasized_signal, z)\n", + "\n", + " indices = np.tile(np.arange(0, frame_length), (num_frames, 1)) + np.tile(np.arange(0, num_frames * frame_step, frame_step), (frame_length, 1)).T\n", + " frames = pad_signal[indices.astype(np.int32, copy=False)]\n", + " \n", + " frames *= np.hamming(frame_length)\n", + " # frames *= 0.54 - 0.46 * np.cos((2 * np.pi * n) / (frame_length - 1)) # Explicit Implementation **\n", + "\n", + " # Magnitude of the FFT\n", + " mag_frames = np.absolute(np.fft.rfft(frames, NFFT))\n", + "\n", + " # Power Spectrum\n", + " pow_frames = ((1.0 / NFFT) * ((mag_frames) ** 2))\n", + " \n", + " low_freq_mel = 0\n", + "\n", + " # Convert Hz to Mel\n", + " high_freq_mel = (2595 * np.log10(1 + (sample_rate / 2) / 700))\n", + "\n", + " # Equally spaced in Mel scale\n", + " mel_points = np.linspace(low_freq_mel, high_freq_mel, nfilt + 2)\n", + "\n", + " # Convert Mel to Hz\n", + " hz_points = (700 * (10**(mel_points / 2595) - 1))\n", + " bin = np.floor((NFFT + 1) * hz_points / sample_rate)\n", + "\n", + " fbank = np.zeros((nfilt, int(np.floor(NFFT / 2 + 1))))\n", + " for m in range(1, nfilt + 1):\n", + " f_m_minus = int(bin[m - 1]) # left\n", + " f_m = int(bin[m]) # center\n", + " f_m_plus = int(bin[m + 1]) # right\n", + "\n", + " for k in range(f_m_minus, f_m):\n", + " fbank[m - 1, k] = (k - bin[m - 1]) / (bin[m] - bin[m - 1])\n", + " for k in range(f_m, f_m_plus):\n", + " fbank[m - 1, k] = (bin[m + 1] - k) / (bin[m + 1] - bin[m])\n", + " filter_banks = np.dot(pow_frames, fbank.T)\n", + " filter_banks = np.where(filter_banks == 0, np.finfo(float).eps, filter_banks) # Numerical Stability\n", + " filter_banks = 20 * np.log10(filter_banks) # dB\n", + " return filter_banks\n", + "\n", + "def get_mfcc(filter_banks, num_ceps = 12):\n", + " ''' Calculate MFCC from filter banks '''\n", + " mfcc = dct(filter_banks, type=2, axis=1, norm='ortho')[:, 1 : (num_ceps + 1)]\n", + " return mfcc\n", + "\n", + "def normalize_mfcc(mfcc, filter_banks, cep_lifter = 100):\n", + " ''' Normalize MFCC '''\n", + " nframes, ncoeff = mfcc.shape\n", + " n = np.arange(ncoeff)\n", + " lift = 1 + (cep_lifter / 2) * np.sin(np.pi * n / cep_lifter)\n", + " mfcc *= lift\n", + " filter_banks -= (np.mean(filter_banks, axis=0)) # + 1e-8)\n", + " mfcc -= (np.mean(mfcc, axis=0)) # + 1e-8)\n", + " return mfcc\n", + "\n", + "def plot_spectrogram(spectrogram, title):\n", + " ''' Plot spectrogram '''\n", + " plt.figure(figsize=(12, 5))\n", + " plt.title(title)\n", + " plt.imshow(spectrogram.T, cmap=plt.cm.jet, aspect='auto')\n", + " plt.xticks(np.arange(0, (spectrogram.T).shape[1], int((spectrogram.T).shape[1] / 4)))\n", + " ax = plt.gca()\n", + " ax.invert_yaxis()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# File assumed to be in the same directory\n", + "sample_rate, signal_org = scipy.io.wavfile.read('../data/sample.wav')\n", + "\n", + "# Keep the first 3.5 seconds\n", + "signal = signal_org[int(10 * sample_rate):int(20 * sample_rate)]\n", + "\n", + "filter_banks = get_filter_banks(signal, sample_rate)\n", + "plot_spectrogram(filter_banks, 'Spectrogram of the Signal')\n", + "\n", + "mfcc = get_mfcc(filter_banks)\n", + "\n", + "plot_spectrogram(mfcc, 'MFCC')\n", + "\n", + "mfcc = normalize_mfcc(mfcc, filter_banks)\n", + "\n", + "plot_spectrogram(mfcc, 'Normalized MFCC')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.15rc1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/audio_preprocessing_demo.ipynb b/notebooks/audio_preprocessing_demo.ipynb new file mode 100644 index 0000000..4462121 --- /dev/null +++ b/notebooks/audio_preprocessing_demo.ipynb @@ -0,0 +1,194 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# %load ../modules/audio_preprocessing.py\n", + "import numpy as np\n", + "import scipy.io.wavfile\n", + "from scipy.fftpack import dct\n", + "import matplotlib.pyplot as plt\n", + "\n", + "def emphesize_signal(signal, pre_emphasis = 0.97):\n", + " ''' Filter signal to amplify the high frequencies '''\n", + " emphasized_signal = np.append(signal[0], signal[1:] - pre_emphasis * signal[:-1])\n", + " return emphasized_signal\n", + "\n", + "def get_filter_banks(signal, sample_rate, frame_size = 0.025, frame_stride = 0.01, NFFT = 512, nfilt = 40):\n", + " ''' Calculate filter banks from signal '''\n", + " emphasized_signal = emphesize_signal(signal)\n", + "\n", + " # Convert from seconds to samples\n", + " frame_length, frame_step = frame_size * sample_rate, frame_stride * sample_rate\n", + " signal_length = len(emphasized_signal)\n", + " frame_length = int(round(frame_length))\n", + " frame_step = int(round(frame_step))\n", + "\n", + " # Make sure that we have at least 1 frame\n", + " num_frames = int(np.ceil(float(np.abs(signal_length - frame_length)) / frame_step))\n", + "\n", + " pad_signal_length = num_frames * frame_step + frame_length\n", + " z = np.zeros((pad_signal_length - signal_length))\n", + "\n", + " # Pad Signal to make sure that all frames have equal number of samples \n", + " # without truncating any samples from the original signal\n", + " pad_signal = np.append(emphasized_signal, z)\n", + "\n", + " indices = np.tile(np.arange(0, frame_length), (num_frames, 1)) + np.tile(np.arange(0, num_frames * frame_step, frame_step), (frame_length, 1)).T\n", + " frames = pad_signal[indices.astype(np.int32, copy=False)]\n", + " \n", + " frames *= np.hamming(frame_length)\n", + " # frames *= 0.54 - 0.46 * np.cos((2 * np.pi * n) / (frame_length - 1)) # Explicit Implementation **\n", + "\n", + " # Magnitude of the FFT\n", + " mag_frames = np.absolute(np.fft.rfft(frames, NFFT))\n", + "\n", + " # Power Spectrum\n", + " pow_frames = ((1.0 / NFFT) * ((mag_frames) ** 2))\n", + " \n", + " low_freq_mel = 0\n", + "\n", + " # Convert Hz to Mel\n", + " high_freq_mel = (2595 * np.log10(1 + (sample_rate / 2) / 700))\n", + "\n", + " # Equally spaced in Mel scale\n", + " mel_points = np.linspace(low_freq_mel, high_freq_mel, nfilt + 2)\n", + "\n", + " # Convert Mel to Hz\n", + " hz_points = (700 * (10**(mel_points / 2595) - 1))\n", + " bin = np.floor((NFFT + 1) * hz_points / sample_rate)\n", + "\n", + " fbank = np.zeros((nfilt, int(np.floor(NFFT / 2 + 1))))\n", + " for m in range(1, nfilt + 1):\n", + " f_m_minus = int(bin[m - 1]) # left\n", + " f_m = int(bin[m]) # center\n", + " f_m_plus = int(bin[m + 1]) # right\n", + "\n", + " for k in range(f_m_minus, f_m):\n", + " fbank[m - 1, k] = (k - bin[m - 1]) / (bin[m] - bin[m - 1])\n", + " for k in range(f_m, f_m_plus):\n", + " fbank[m - 1, k] = (bin[m + 1] - k) / (bin[m + 1] - bin[m])\n", + " filter_banks = np.dot(pow_frames, fbank.T)\n", + " filter_banks = np.where(filter_banks == 0, np.finfo(float).eps, filter_banks) # Numerical Stability\n", + " filter_banks = 20 * np.log10(filter_banks) # dB\n", + " return filter_banks\n", + "\n", + "def get_mfcc(filter_banks, num_ceps = 12):\n", + " ''' Calculate MFCC from filter banks '''\n", + " mfcc = dct(filter_banks, type=2, axis=1, norm='ortho')[:, 1 : (num_ceps + 1)]\n", + " return mfcc\n", + "\n", + "def normalize_mfcc(mfcc, filter_banks, cep_lifter = 100):\n", + " ''' Normalize MFCC '''\n", + " nframes, ncoeff = mfcc.shape\n", + " n = np.arange(ncoeff)\n", + " lift = 1 + (cep_lifter / 2) * np.sin(np.pi * n / cep_lifter)\n", + " mfcc *= lift\n", + " filter_banks -= (np.mean(filter_banks, axis=0)) # + 1e-8)\n", + " mfcc -= (np.mean(mfcc, axis=0)) # + 1e-8)\n", + " return mfcc\n", + "\n", + "def plot_spectrogram(spectrogram, title):\n", + " ''' Plot spectrogram '''\n", + " plt.figure(figsize=(12, 5))\n", + " plt.title(title)\n", + " plt.imshow(spectrogram.T, cmap=plt.cm.jet, aspect='auto')\n", + " plt.xticks(np.arange(0, (spectrogram.T).shape[1], int((spectrogram.T).shape[1] / 4)))\n", + " ax = plt.gca()\n", + " ax.invert_yaxis()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# File assumed to be in the same directory\n", + "sample_rate, signal_org = scipy.io.wavfile.read('../data/sample.wav')\n", + "\n", + "# Keep the first 3.5 seconds\n", + "signal = signal_org[int(10 * sample_rate):int(20 * sample_rate)]\n", + "\n", + "filter_banks = get_filter_banks(signal, sample_rate)\n", + "plot_spectrogram(filter_banks, 'Spectrogram of the Signal')\n", + "\n", + "mfcc = get_mfcc(filter_banks)\n", + "\n", + "plot_spectrogram(mfcc, 'MFCC')\n", + "\n", + "mfcc = normalize_mfcc(mfcc, filter_banks)\n", + "\n", + "plot_spectrogram(mfcc, 'Normalized MFCC')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.15rc1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}