From 30e35f10b45924e5cbc461884cd9867ae5472548 Mon Sep 17 00:00:00 2001 From: danielhkl Date: Wed, 11 Jul 2018 15:33:20 +0200 Subject: [PATCH 1/5] name concept nb and get_power numpy --- examples/WPE_Numpy_offline.ipynb | 46 ++++++--- examples/WPE_Numpy_online.ipynb | 38 +++++--- examples/WPE_Tensorflow_offline.ipynb | 43 ++++++--- examples/WPE_Tensorflow_online.ipynb | 133 ++++++++------------------ nara_wpe/wpe.py | 69 +++++++++---- 5 files changed, 177 insertions(+), 152 deletions(-) diff --git a/examples/WPE_Numpy_offline.ipynb b/examples/WPE_Numpy_offline.ipynb index ccb7cfc..fd6234c 100644 --- a/examples/WPE_Numpy_offline.ipynb +++ b/examples/WPE_Numpy_offline.ipynb @@ -3,7 +3,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false + }, "outputs": [], "source": [ "%reload_ext autoreload\n", @@ -25,7 +27,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "stft_options = dict(\n", @@ -48,7 +52,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "def aquire_audio_data():\n", @@ -60,7 +66,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false + }, "outputs": [], "source": [ "y = aquire_audio_data()\n", @@ -94,14 +102,16 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "channels = 8\n", "sampling_rate = 16000\n", "delay = 3\n", "iterations = 5\n", - "K = 10" + "taps = 10" ] }, { @@ -115,7 +125,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false + }, "outputs": [], "source": [ "file_template = 'AMI_WSJ20-Array1-{}_T10c0201.wav'\n", @@ -138,7 +150,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "Y = stft(y, **stft_options).transpose(2, 0, 1)" @@ -155,10 +169,12 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false + }, "outputs": [], "source": [ - "Z = wpe(Y, iterations=iterations, mode='full').transpose(1, 2, 0)\n", + "Z = wpe(Y, iterations=iterations, statistics_mode='full').transpose(1, 2, 0)\n", "z = istft(Z, size=stft_options['size'], shift=stft_options['shift'])\n", "IPython.display.Audio(z[0], rate=sampling_rate)" ] @@ -174,7 +190,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false + }, "outputs": [], "source": [ "fig, [ax1, ax2] = plt.subplots(1, 2, figsize=(20, 10))\n", @@ -190,9 +208,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 36", "language": "python", - "name": "python3" + "name": "py36" }, "language_info": { "codemirror_mode": { @@ -204,7 +222,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.0" } }, "nbformat": 4, diff --git a/examples/WPE_Numpy_online.ipynb b/examples/WPE_Numpy_online.ipynb index 5b7e4b6..c418895 100644 --- a/examples/WPE_Numpy_online.ipynb +++ b/examples/WPE_Numpy_online.ipynb @@ -3,7 +3,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false + }, "outputs": [], "source": [ "%reload_ext autoreload\n", @@ -26,7 +28,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "stft_options = dict(\n", @@ -57,14 +61,16 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "channels = 8\n", "sampling_rate = 16000\n", "delay = 3\n", - "alpha=0.99\n", - "K = 10\n", + "alpha=0.9999\n", + "taps = 10\n", "frequency_bins = stft_options['size'] // 2 + 1" ] }, @@ -78,7 +84,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false + }, "outputs": [], "source": [ "file_template = 'AMI_WSJ20-Array1-{}_T10c0201.wav'\n", @@ -105,7 +113,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "Y = stft(y, **stft_options).transpose(1, 2, 0)\n", @@ -132,7 +142,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false + }, "outputs": [], "source": [ "Z_list = []\n", @@ -140,7 +152,7 @@ "G = np.zeros((frequency_bins, channels * K, channels))\n", "\n", "for Y_step in tqdm(aquire_framebuffer()):\n", - " Z, Q, G = online_wpe_step(Y_step, get_power_online(Y_step), Q, G, alpha=alpha, K=K, delay=delay)\n", + " Z, Q, G = online_wpe_step(Y_step, get_power_online(Y_step), Q, G, alpha=alpha, taps=taps, delay=delay)\n", " Z_list.append(Z)\n", "\n", "Z_stacked = np.stack(Z_list)\n", @@ -160,7 +172,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false + }, "outputs": [], "source": [ "fig, [ax1, ax2] = plt.subplots(1, 2, figsize=(20, 8))\n", @@ -175,7 +189,7 @@ ], "metadata": { "kernelspec": { - "display_name": "py36", + "display_name": "Python 36", "language": "python", "name": "py36" }, @@ -189,7 +203,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.0" } }, "nbformat": 4, diff --git a/examples/WPE_Tensorflow_offline.ipynb b/examples/WPE_Tensorflow_offline.ipynb index 95e3db6..54da22a 100644 --- a/examples/WPE_Tensorflow_offline.ipynb +++ b/examples/WPE_Tensorflow_offline.ipynb @@ -3,7 +3,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false + }, "outputs": [], "source": [ "%reload_ext autoreload\n", @@ -26,7 +28,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "stft_options = dict(\n", @@ -49,7 +53,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "def aquire_audio_data():\n", @@ -62,6 +68,7 @@ "cell_type": "code", "execution_count": null, "metadata": { + "collapsed": false, "scrolled": false }, "outputs": [], @@ -103,14 +110,16 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "channels = 8\n", "sampling_rate = 16000\n", "delay = 3\n", "iterations = 5\n", - "K = 10" + "taps = 10" ] }, { @@ -124,7 +133,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false + }, "outputs": [], "source": [ "file_template = 'AMI_WSJ20-Array1-{}_T10c0201.wav'\n", @@ -147,7 +158,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "Y = stft(y, **stft_options).transpose(2, 0, 1)" @@ -164,12 +177,14 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false + }, "outputs": [], "source": [ "with tf.Session()as session:\n", " Y_tf = tf.placeholder(tf.complex128, shape=(None, None, None))\n", - " Z_tf = wpe(Y_tf, iterations=iterations)\n", + " Z_tf = wpe(Y_tf, taps=taps, iterations=iterations)\n", " Z = session.run(Z_tf, {Y_tf: Y})\n", "z = istft(Z.transpose(1, 2, 0), size=stft_options['size'], shift=stft_options['shift'])\n", "IPython.display.Audio(z[0], rate=sampling_rate)" @@ -186,7 +201,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false + }, "outputs": [], "source": [ "fig, [ax1, ax2] = plt.subplots(1, 2, figsize=(20, 8))\n", @@ -201,9 +218,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 36", "language": "python", - "name": "python3" + "name": "py36" }, "language_info": { "codemirror_mode": { @@ -215,7 +232,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.0" } }, "nbformat": 4, diff --git a/examples/WPE_Tensorflow_online.ipynb b/examples/WPE_Tensorflow_online.ipynb index 0d4aab4..8d86f57 100644 --- a/examples/WPE_Tensorflow_online.ipynb +++ b/examples/WPE_Tensorflow_online.ipynb @@ -2,18 +2,11 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/danielha/anaconda3/envs/py36/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", - " from ._conv import register_converters as _register_converters\n" - ] - } - ], + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], "source": [ "%reload_ext autoreload\n", "%autoreload 2\n", @@ -35,8 +28,10 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": {}, + "execution_count": null, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "stft_options = dict(\n", @@ -66,15 +61,17 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": {}, + "execution_count": null, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "channels = 8\n", "sampling_rate = 16000\n", "delay = 3\n", "alpha=0.99\n", - "K = 10\n", + "taps = 10\n", "frequency_bins = stft_options['size'] // 2 + 1" ] }, @@ -87,28 +84,11 @@ }, { "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], "source": [ "file_template = 'AMI_WSJ20-Array1-{}_T10c0201.wav'\n", "signal_list = [\n", @@ -133,8 +113,10 @@ }, { "cell_type": "code", - "execution_count": 5, - "metadata": {}, + "execution_count": null, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "Y = stft(y, **stft_options).transpose(1, 2, 0)\n", @@ -160,47 +142,23 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "985it [00:46, 21.24it/s]\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], "source": [ "Z_list = []\n", "\n", - "Q = np.stack([np.identity(channels * K) for a in range(frequency_bins)])\n", - "G = np.zeros((frequency_bins, channels * K, channels))\n", + "Q = np.stack([np.identity(channels * taps) for a in range(frequency_bins)])\n", + "G = np.zeros((frequency_bins, channels * taps, channels))\n", "\n", "with tf.Session() as session:\n", - " Y_tf = tf.placeholder(tf.complex128, shape=(K + delay + 1, frequency_bins, channels))\n", - " Q_tf = tf.placeholder(tf.complex128, shape=(frequency_bins, channels * K, channels * K))\n", - " G_tf = tf.placeholder(tf.complex128, shape=(frequency_bins, channels * K, channels))\n", + " Y_tf = tf.placeholder(tf.complex128, shape=(taps + delay + 1, frequency_bins, channels))\n", + " Q_tf = tf.placeholder(tf.complex128, shape=(frequency_bins, channels * taps, channels * taps))\n", + " G_tf = tf.placeholder(tf.complex128, shape=(frequency_bins, channels * taps, channels))\n", " \n", - " results = online_wpe_step(Y_tf, get_power_online(Y_tf), Q_tf, G_tf, alpha=alpha, K=K, delay=delay)\n", + " results = online_wpe_step(Y_tf, get_power_online(Y_tf), Q_tf, G_tf, alpha=alpha, taps=taps, delay=delay)\n", " for Y_step in tqdm(aquire_framebuffer()):\n", " feed_dict = {Y_tf: Y_step, Q_tf: Q, G_tf: G}\n", " Z, Q, G = session.run(results, feed_dict)\n", @@ -222,20 +180,11 @@ }, { "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], "source": [ "fig, [ax1, ax2] = plt.subplots(1, 2, figsize=(20, 8))\n", "im1 = ax1.imshow(20 * np.log10(np.abs(Y[200:400, :, 0])).T, origin='lower')\n", @@ -249,7 +198,7 @@ ], "metadata": { "kernelspec": { - "display_name": "py36", + "display_name": "Python 36", "language": "python", "name": "py36" }, @@ -263,7 +212,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.0" } }, "nbformat": 4, diff --git a/nara_wpe/wpe.py b/nara_wpe/wpe.py index 6819ed2..542f79b 100644 --- a/nara_wpe/wpe.py +++ b/nara_wpe/wpe.py @@ -489,10 +489,10 @@ def get_power_online(signal): Calculates power over last to frames of `signal` Args: - signal (tf.Tensor): Single frequency signal with shape (T, F, D). + signal : Single frequency signal with shape (T, F, D). Returns: - tf.Tensor: Inverse power with shape (F,) + Inverse power with shape (F,) """ power_estimate = np.real(signal) ** 2 + np.imag(signal) ** 2 @@ -506,34 +506,61 @@ def get_power_online(signal): return power_estimate -def get_power_inverse(signal, psd_context=0): +def get_power(signal, psd_context=0): """ - Assumes single frequency bin with shape (D, T). + Calculates power for single frequency signal. + In case psd_context is an tuple the two values + are describing the left and right hand context. - >>> s = 1 / np.array([np.arange(1, 6)]*3) - >>> get_power_inverse(s) - array([ 1., 4., 9., 16., 25.]) - >>> get_power_inverse(s * 0 + 1, 1) - array([1., 1., 1., 1., 1.]) - >>> get_power_inverse(s, 1) - array([ 1. , 1.6 , 2.20408163, 7.08196721, 14.04421326]) - >>> get_power_inverse(s, np.inf) - array([3.41620801, 3.41620801, 3.41620801, 3.41620801, 3.41620801]) + Args: + signal: (D, T) + psd_context: tuple or int """ power = np.mean(abs_square(signal), axis=-2) - if np.isposinf(psd_context): - power = np.broadcast_to(np.mean(power, axis=-1, keepdims=True), power.shape) - elif psd_context > 0: - assert int(psd_context) == psd_context, psd_context - psd_context = int(psd_context) - import bottleneck as bn - # Handle the corner case correctly (i.e. sum() / count) - power = bn.move_mean(power, psd_context*2+1, min_count=1) + + if psd_context is not 0: + from scipy import signal + if isinstance(psd_context, tuple): + context = psd_context[0] + 1 + psd_context[1] + else: + assert int(psd_context) == psd_context, psd_context + context = int(2 * psd_context + 1) + psd_context = (psd_context, psd_context) + + power = signal.correlate( + power, + np.ones(context), + mode='full' + )[psd_context[1]:-psd_context[0]] + + denom = np.correlate( + np.zeros_like(power) + 1, + np.ones(context), + mode='full' + )[psd_context[1]:-psd_context[0]] + + power /= denom + elif psd_context == 0: pass else: raise ValueError(psd_context) + + return power + + +def get_power_inverse(signal, psd_context=0): + """ + Assumes single frequency bin with shape (D, T). + + Args: + signal: (D, T) + psd_context: tuple or int + """ + + power = get_power(signal, psd_context) + eps = 1e-10 * np.max(power) inverse_power = 1 / np.maximum(power, eps) return inverse_power From a90ae7169ec182e7b087fe5d03e4da951dd397d9 Mon Sep 17 00:00:00 2001 From: danielha Date: Thu, 12 Jul 2018 13:52:42 +0200 Subject: [PATCH 2/5] refactored and improved power estimation in numpy --- examples/WPE_Numpy_offline.ipynb | 40 +++++++------------------ examples/WPE_Numpy_online.ipynb | 42 +++++++++------------------ examples/WPE_Tensorflow_offline.ipynb | 38 +++++++----------------- examples/WPE_Tensorflow_online.ipynb | 36 +++++++---------------- nara_wpe/wpe.py | 34 ++++++++++------------ 5 files changed, 62 insertions(+), 128 deletions(-) diff --git a/examples/WPE_Numpy_offline.ipynb b/examples/WPE_Numpy_offline.ipynb index fd6234c..cb629e3 100644 --- a/examples/WPE_Numpy_offline.ipynb +++ b/examples/WPE_Numpy_offline.ipynb @@ -3,9 +3,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%reload_ext autoreload\n", @@ -27,9 +25,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "stft_options = dict(\n", @@ -52,9 +48,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "def aquire_audio_data():\n", @@ -66,9 +60,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "y = aquire_audio_data()\n", @@ -102,9 +94,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "channels = 8\n", @@ -125,9 +115,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "file_template = 'AMI_WSJ20-Array1-{}_T10c0201.wav'\n", @@ -150,9 +138,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "Y = stft(y, **stft_options).transpose(2, 0, 1)" @@ -169,9 +155,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "Z = wpe(Y, iterations=iterations, statistics_mode='full').transpose(1, 2, 0)\n", @@ -190,9 +174,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "fig, [ax1, ax2] = plt.subplots(1, 2, figsize=(20, 10))\n", @@ -208,7 +190,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 36", + "display_name": "py36", "language": "python", "name": "py36" }, @@ -222,7 +204,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.0" + "version": "3.6.3" } }, "nbformat": 4, diff --git a/examples/WPE_Numpy_online.ipynb b/examples/WPE_Numpy_online.ipynb index c418895..bcbe6ce 100644 --- a/examples/WPE_Numpy_online.ipynb +++ b/examples/WPE_Numpy_online.ipynb @@ -3,9 +3,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%reload_ext autoreload\n", @@ -28,9 +26,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "stft_options = dict(\n", @@ -61,9 +57,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "channels = 8\n", @@ -84,9 +78,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "file_template = 'AMI_WSJ20-Array1-{}_T10c0201.wav'\n", @@ -113,17 +105,15 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "Y = stft(y, **stft_options).transpose(1, 2, 0)\n", "T, _, _ = Y.shape\n", "\n", "def aquire_framebuffer():\n", - " buffer = list(Y[:K+delay+1, :, :])\n", - " for t in range(K+delay+1, T):\n", + " buffer = list(Y[:taps+delay+1, :, :])\n", + " for t in range(taps+delay+1, T):\n", " yield np.array(buffer)\n", " buffer.append(Y[t, :, :])\n", " buffer.pop(0)" @@ -142,17 +132,15 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "Z_list = []\n", - "Q = np.stack([np.identity(channels * K) for a in range(frequency_bins)])\n", - "G = np.zeros((frequency_bins, channels * K, channels))\n", + "Q = np.stack([np.identity(channels * taps) for a in range(frequency_bins)])\n", + "G = np.zeros((frequency_bins, channels * taps, channels))\n", "\n", "for Y_step in tqdm(aquire_framebuffer()):\n", - " Z, Q, G = online_wpe_step(Y_step, get_power_online(Y_step), Q, G, alpha=alpha, taps=taps, delay=delay)\n", + " Z, Q, G = online_wpe_step(Y_step, get_power_online(Y_step.transpose(1, 2, 0)), Q, G, alpha=alpha, taps=taps, delay=delay)\n", " Z_list.append(Z)\n", "\n", "Z_stacked = np.stack(Z_list)\n", @@ -172,9 +160,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "fig, [ax1, ax2] = plt.subplots(1, 2, figsize=(20, 8))\n", @@ -189,7 +175,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 36", + "display_name": "py36", "language": "python", "name": "py36" }, @@ -203,7 +189,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.0" + "version": "3.6.3" } }, "nbformat": 4, diff --git a/examples/WPE_Tensorflow_offline.ipynb b/examples/WPE_Tensorflow_offline.ipynb index 54da22a..0649d81 100644 --- a/examples/WPE_Tensorflow_offline.ipynb +++ b/examples/WPE_Tensorflow_offline.ipynb @@ -3,9 +3,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%reload_ext autoreload\n", @@ -28,9 +26,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "stft_options = dict(\n", @@ -53,9 +49,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "def aquire_audio_data():\n", @@ -68,7 +62,6 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false, "scrolled": false }, "outputs": [], @@ -110,9 +103,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "channels = 8\n", @@ -133,9 +124,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "file_template = 'AMI_WSJ20-Array1-{}_T10c0201.wav'\n", @@ -158,9 +147,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "Y = stft(y, **stft_options).transpose(2, 0, 1)" @@ -177,11 +164,10 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ + "from nara_wpe.tf_wpe import get_power\n", "with tf.Session()as session:\n", " Y_tf = tf.placeholder(tf.complex128, shape=(None, None, None))\n", " Z_tf = wpe(Y_tf, taps=taps, iterations=iterations)\n", @@ -201,9 +187,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "fig, [ax1, ax2] = plt.subplots(1, 2, figsize=(20, 8))\n", @@ -218,7 +202,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 36", + "display_name": "py36", "language": "python", "name": "py36" }, @@ -232,7 +216,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.0" + "version": "3.6.3" } }, "nbformat": 4, diff --git a/examples/WPE_Tensorflow_online.ipynb b/examples/WPE_Tensorflow_online.ipynb index 8d86f57..20f8321 100644 --- a/examples/WPE_Tensorflow_online.ipynb +++ b/examples/WPE_Tensorflow_online.ipynb @@ -3,9 +3,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%reload_ext autoreload\n", @@ -29,9 +27,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "stft_options = dict(\n", @@ -62,9 +58,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "channels = 8\n", @@ -85,9 +79,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "file_template = 'AMI_WSJ20-Array1-{}_T10c0201.wav'\n", @@ -114,17 +106,15 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "Y = stft(y, **stft_options).transpose(1, 2, 0)\n", "T, _, _ = Y.shape\n", "\n", "def aquire_framebuffer():\n", - " buffer = list(Y[:K+delay+1, :, :])\n", - " for t in range(K+delay+1, T):\n", + " buffer = list(Y[:taps+delay+1, :, :])\n", + " for t in range(taps+delay+1, T):\n", " yield np.array(buffer)\n", " buffer.append(Y[t, :, :])\n", " buffer.pop(0)" @@ -143,9 +133,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "Z_list = []\n", @@ -181,9 +169,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "fig, [ax1, ax2] = plt.subplots(1, 2, figsize=(20, 8))\n", @@ -198,7 +184,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 36", + "display_name": "py36", "language": "python", "name": "py36" }, @@ -212,7 +198,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.0" + "version": "3.6.3" } }, "nbformat": 4, diff --git a/nara_wpe/wpe.py b/nara_wpe/wpe.py index 542f79b..c933d60 100644 --- a/nara_wpe/wpe.py +++ b/nara_wpe/wpe.py @@ -486,41 +486,34 @@ def abs_square(x: np.ndarray): def get_power_online(signal): """ - Calculates power over last to frames of `signal` Args: - signal : Single frequency signal with shape (T, F, D). - + signal : Single frequency signal with shape (F, D, T). Returns: Inverse power with shape (F,) """ - power_estimate = np.real(signal) ** 2 + np.imag(signal) ** 2 - power_estimate += np.pad( - power_estimate, - ((1, 0), (0, 0), (0, 0)), - mode='constant' - )[:-1, :] - power_estimate /= 2 - power_estimate = np.mean(power_estimate, axis=(0, -1)) + power_estimate = get_power(signal) + power_estimate = np.mean(power_estimate, -1) return power_estimate def get_power(signal, psd_context=0): """ - Calculates power for single frequency signal. + In case psd_context is an tuple the two values are describing the left and right hand context. Args: - signal: (D, T) + signal: (F, D, T) or (D, T) psd_context: tuple or int """ - power = np.mean(abs_square(signal), axis=-2) + if len(signal.shape) == 2: + signal = signal[None, ...] + power = np.mean(abs_square(signal), axis=-2) if psd_context is not 0: - from scipy import signal if isinstance(psd_context, tuple): context = psd_context[0] + 1 + psd_context[1] else: @@ -528,13 +521,17 @@ def get_power(signal, psd_context=0): context = int(2 * psd_context + 1) psd_context = (psd_context, psd_context) - power = signal.correlate( + power = np.apply_along_axis( + np.correlate, + 0, power, np.ones(context), mode='full' )[psd_context[1]:-psd_context[0]] - denom = np.correlate( + denom = np.apply_along_axis( + np.correlate, + 0, np.zeros_like(power) + 1, np.ones(context), mode='full' @@ -546,8 +543,7 @@ def get_power(signal, psd_context=0): pass else: raise ValueError(psd_context) - - return power + return np.squeeze(power) def get_power_inverse(signal, psd_context=0): From 1d585f17c7eef17c294b8e33840a13468893eb79 Mon Sep 17 00:00:00 2001 From: danielha Date: Thu, 12 Jul 2018 15:11:32 +0200 Subject: [PATCH 3/5] user interface for wpe --- nara_wpe/wpe.py | 113 +++++++++++++++++++++++++++++++++--------------- setup.py | 1 + 2 files changed, 80 insertions(+), 34 deletions(-) diff --git a/nara_wpe/wpe.py b/nara_wpe/wpe.py index c933d60..900a4bd 100644 --- a/nara_wpe/wpe.py +++ b/nara_wpe/wpe.py @@ -1,6 +1,7 @@ import functools import operator +import click import numpy as np @@ -870,70 +871,114 @@ def perform_filter_operation_v5(Y, Y_tilde, filter_matrix): return X -def main(): +@click.command() +@click.option( + '--channels', + default=8, + help='Audio Channels D' +) +@click.option( + '--sampling_rate', + default=16000, + help='Sampling rate of audio' +) +@click.option( + '--file_template', + default='AMI_WSJ20-Array1-{}_T10c0201.wav', + help='Audio example. Full path required' +) +@click.option( + '--taps_frequency_dependent', + is_flag=True, + help='Whether taps are frequency dependent or not' +) +@click.option( + '--delay', + default=3, + help='Delay' +) +@click.option( + '--iterations', + default=5, + help='Iterations of WPE' +) +def main(channels, sampling_rate, file_template, taps_frequency_dependent, + delay, iterations): + """ + User interface for WPE. The defaults of the command line interface are + suited for example audio files of nara_wpe. + + 'Yoshioka2012GeneralWPE' + sampling_rate = 8000 + delay = 2 + iterations = 2 + + """ from nara_wpe import project_root import soundfile as sf from nara_wpe.utils import stft - from nara_wpe.utils import istft_loop as istft + from nara_wpe.utils import istft from nara_wpe.utils import get_stft_center_frequencies from tqdm import tqdm from librosa.core.audio import resample - channels = 8 - - parameter_set = 'Katka' - - if parameter_set == 'Katka': - sampling_rate = 16000 - stft_size, stft_shift = 512, 128 - delay = 3 - iterations = 5 - - def get_K(f): - return 10 - - elif parameter_set == 'Yoshioka2012GeneralWPE': - sampling_rate = 8000 - stft_size, stft_shift = 128, 64 - delay = 2 - iterations = 2 + stft_options = dict( + size=512, + shift=128, + window_length=None, + fading=True, + pad=True, + symmetric_window=False + ) - def get_taps(f): + def get_taps(f, mode=taps_frequency_dependent): + if mode: if center_frequencies[f] < 800: taps = 18 elif center_frequencies[f] < 1500: taps = 15 else: taps = 12 - return taps - + else: + taps = 10 + return taps + + if file_template == 'AMI_WSJ20-Array1-{}_T10c0201.wav': + signal_list = [ + sf.read(str(project_root / 'data' / file_template.format(d + 1)))[0] + for d in range(channels) + ] else: - raise ValueError - - file_template = 'AMI_WSJ20-Array1-{}_T10c0201.wav' - signal_list = [ - sf.read(str(project_root / 'data' / file_template.format(d + 1)))[0] - for d in range(channels) - ] + signal = sf.read(file_template)[0].transpose(1, 0) + signal_list = list(signal) signal_list = [resample(x_, 16000, sampling_rate) for x_ in signal_list] y = np.stack(signal_list, axis=0) - center_frequencies = get_stft_center_frequencies(stft_size, sampling_rate) + center_frequencies = get_stft_center_frequencies( + stft_options['size'], + sampling_rate + ) - Y = stft(y, size=stft_size, shift=stft_shift) + Y = stft(y, **stft_options) X = np.copy(Y) D, T, F = Y.shape for f in tqdm(range(F), total=F): taps = get_taps(f) - X[:, :, f] = wpe_v7(Y[:, :, f], taps=taps, delay=delay, iterations=iterations) + X[:, :, f] = wpe_v7( + Y[:, :, f], + taps=taps, + delay=delay, + iterations=iterations + ) - x = istft(X, size=stft_size, shift=stft_shift) + x = istft(X, size=stft_options['size'], shift=stft_options['shift']) sf.write( str(project_root / 'data' / 'wpe_out.wav'), x[0], samplerate=sampling_rate ) + print('Output in {}'.format(str(project_root / 'data' / 'wpe_out.wav'))) if __name__ == '__main__': diff --git a/setup.py b/setup.py index 8943dab..34a6678 100644 --- a/setup.py +++ b/setup.py @@ -73,6 +73,7 @@ 'tqdm', 'soundfile', 'bottleneck', + 'click' ], # List additional groups of dependencies here (e.g. development From 5377fb69553cd509a9583dfdb5d0678be6faf0b4 Mon Sep 17 00:00:00 2001 From: danielha Date: Thu, 12 Jul 2018 17:14:35 +0200 Subject: [PATCH 4/5] description for pypi --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 34a6678..cb6807c 100644 --- a/setup.py +++ b/setup.py @@ -13,7 +13,7 @@ here = path.abspath(path.dirname(__file__)) # Get the long description from the relevant file -with open(path.join(here, 'DESCRIPTION.rst'), encoding='utf-8') as f: +with open('DESCRIPTION.rst', encoding='utf-8') as f: long_description = f.read() st.setup( From 4e3a0100de8e7809fe4f62004589ac0820c99195 Mon Sep 17 00:00:00 2001 From: danielha Date: Fri, 13 Jul 2018 16:44:07 +0200 Subject: [PATCH 5/5] changed default in wpe command line interface, refactored power estimation in tf_wpe --- examples/WPE_Tensorflow_online.ipynb | 2 +- nara_wpe/tf_wpe.py | 93 +++++++++++++++++++++++----- nara_wpe/wpe.py | 5 +- 3 files changed, 81 insertions(+), 19 deletions(-) diff --git a/examples/WPE_Tensorflow_online.ipynb b/examples/WPE_Tensorflow_online.ipynb index 20f8321..94e3b96 100644 --- a/examples/WPE_Tensorflow_online.ipynb +++ b/examples/WPE_Tensorflow_online.ipynb @@ -146,7 +146,7 @@ " Q_tf = tf.placeholder(tf.complex128, shape=(frequency_bins, channels * taps, channels * taps))\n", " G_tf = tf.placeholder(tf.complex128, shape=(frequency_bins, channels * taps, channels))\n", " \n", - " results = online_wpe_step(Y_tf, get_power_online(Y_tf), Q_tf, G_tf, alpha=alpha, taps=taps, delay=delay)\n", + " results = online_wpe_step(Y_tf, get_power_online(tf.transpose(Y_tf, (1, 0, 2))), Q_tf, G_tf, alpha=alpha, taps=taps, delay=delay)\n", " for Y_step in tqdm(aquire_framebuffer()):\n", " feed_dict = {Y_tf: Y_step, Q_tf: Q, G_tf: G}\n", " Z, Q, G = session.run(results, feed_dict)\n", diff --git a/nara_wpe/tf_wpe.py b/nara_wpe/tf_wpe.py index ce3990a..44f4324 100644 --- a/nara_wpe/tf_wpe.py +++ b/nara_wpe/tf_wpe.py @@ -57,43 +57,106 @@ def _slice(x): def get_power_online(signal): - """Calculates power over last to frames for `signal` + """Calculates power for `signal` Args: - signal (tf.Tensor): Single frequency signal with shape (T, F, D). + signal (tf.Tensor): Signal with shape (F, D, T). Returns: - tf.Tensor: Inverse power with shape (F,) + tf.Tensor: Power with shape (F,) """ - power_estimate = tf.real(signal) ** 2 + tf.imag(signal) ** 2 - power_estimate += tf.pad( - power_estimate, - ((1, 0), (0, 0), (0, 0)) - )[:-1, :] - power_estimate /= 2 - power_estimate = tf.reduce_mean(power_estimate, axis=(0, -1)) + power_estimate = get_power(signal) + power_estimate = tf.reduce_mean(power_estimate, axis=-1) return power_estimate -def get_power_inverse(signal, channel_axis=0): +def get_power_inverse(signal): """Calculates inverse power for `signal` Args: signal (tf.Tensor): Single frequency signal with shape (D, T). - channel_axis (int): Axis of the channel dimension. Will be averaged. - + psd_context: context for power estimation Returns: tf.Tensor: Inverse power with shape (T,) """ - power = tf.reduce_mean( - tf.real(signal) ** 2 + tf.imag(signal) ** 2, axis=channel_axis) + power = get_power(signal) eps = 1e-10 * tf.reduce_max(power) inverse_power = tf.reciprocal(tf.maximum(power, eps)) return inverse_power +def get_power(signal, axis=-2): + """Calculates power for `signal` + + Args: + signal (tf.Tensor): Single frequency signal with shape (D, T) or (F, D, T). + axis: reduce_mean axis + Returns: + tf.Tensor: Power with shape (T,) or (F, T) + + """ + power = tf.real(signal) ** 2 + tf.imag(signal) ** 2 + power = tf.reduce_mean(power, axis=axis) + + return power + + +#def get_power(signal, psd_context=0): +# """ +# Calculates power for single frequency signal. +# In case psd_context is an tuple the two values +# are describing the left and right hand context. +# +# Args: +# signal: (D, T) +# psd_context: tuple or int +# """ +# shape = tf.shape(signal) +# if len(signal.get_shape()) == 2: +# signal = tf.reshape(signal, (1, shape[0], shape[1])) +# +# power = tf.reduce_mean( +# tf.real(signal) ** 2 + tf.imag(signal) ** 2, +# axis=-2 +# ) +# +# if psd_context is not 0: +# if isinstance(psd_context, tuple): +# context = psd_context[0] + 1 + psd_context[1] +# else: +# context = 2 * psd_context + 1 +# psd_context = (psd_context, psd_context) +# +# power = tf.pad( +# power, +# ((0, 0), (psd_context[0], psd_context[1])), +# mode='constant' +# ) +# print(power) +# power = tf.nn.convolution( +# power, +# tf.ones(context), +# padding='VALID' +# )[psd_context[1]:-psd_context[0]] +# +# denom = tf.nn.convolution( +# tf.zeros_like(power) + 1., +# tf.ones(context), +# padding='VALID' +# )[psd_context[1]:-psd_context[0]] +# print(power) +# power /= denom +# +# elif psd_context == 0: +# pass +# else: +# raise ValueError(psd_context) +# +# return tf.squeeze(power, axis=0) + + def get_correlations(Y, inverse_power, taps, delay): """Calculates weighted correlations of a window of length taps diff --git a/nara_wpe/wpe.py b/nara_wpe/wpe.py index 900a4bd..1e3f43b 100644 --- a/nara_wpe/wpe.py +++ b/nara_wpe/wpe.py @@ -489,7 +489,7 @@ def get_power_online(signal): """ Args: - signal : Single frequency signal with shape (F, D, T). + signal : Signal with shape (F, D, T). Returns: Inverse power with shape (F,) @@ -884,8 +884,7 @@ def perform_filter_operation_v5(Y, Y_tilde, filter_matrix): ) @click.option( '--file_template', - default='AMI_WSJ20-Array1-{}_T10c0201.wav', - help='Audio example. Full path required' + help='Audio example. Full path required. Included example: AMI_WSJ20-Array1-{}_T10c0201.wav' ) @click.option( '--taps_frequency_dependent',