{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Emotion Detection" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "This tutorial is available as an IPython notebook at [malaya-speech/example/emotion](https://github.com/huseinzol05/malaya-speech/tree/master/example/emotion).\n", " \n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "This module is language independent, so it save to use on different languages.\n", " \n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "This is an application of malaya-speech Pipeline, read more about malaya-speech Pipeline at [malaya-speech/example/pipeline](https://github.com/huseinzol05/malaya-speech/tree/master/example/pipeline).\n", " \n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Dataset\n", "\n", "Trained on Toronto emotional speech set (TESS) with augmented noises, https://tspace.library.utoronto.ca/handle/1807/24487" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import malaya_speech\n", "import numpy as np\n", "from malaya_speech import Pipeline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(1634237, 16000)" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y, sr = malaya_speech.load('speech/video/The-Singaporean-White-Boy.wav')\n", "len(y), sr" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# just going to take 30 seconds\n", "y = y[:sr * 30]" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import IPython.display as ipd\n", "ipd.Audio(y, rate = sr)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This audio extracted from https://www.youtube.com/watch?v=HylaY5e1awo&t=2s" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Supported emotions" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['angry',\n", " 'disgust',\n", " 'fear',\n", " 'happy',\n", " 'sad',\n", " 'surprise',\n", " 'neutral',\n", " 'not an emotion']" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "malaya_speech.emotion.labels" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### List available deep model" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:root:last accuracy during training session before early stopping.\n" ] }, { "data": { "text/html": [ "
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Size (MB)Quantized Size (MB)Accuracy
vggvox-v231.17.920.9509
deep-speaker96.924.400.9315
\n", "
" ], "text/plain": [ " Size (MB) Quantized Size (MB) Accuracy\n", "vggvox-v2 31.1 7.92 0.9509\n", "deep-speaker 96.9 24.40 0.9315" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "malaya_speech.emotion.available_model()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load deep model\n", "\n", "```python\n", "def deep_model(model: str = 'vggvox-v2', quantized: bool = False, **kwargs):\n", " \"\"\"\n", " Load emotion detection deep model.\n", "\n", " Parameters\n", " ----------\n", " model : str, optional (default='vggvox-v2')\n", " Model architecture supported. Allowed values:\n", "\n", " * ``'vggvox-v2'`` - finetuned VGGVox V2.\n", " * ``'deep-speaker'`` - finetuned Deep Speaker.\n", " quantized : bool, optional (default=False)\n", " if True, will load 8-bit quantized model. \n", " Quantized model not necessary faster, totally depends on the machine.\n", "\n", " Returns\n", " -------\n", " result : malaya_speech.supervised.classification.load function\n", " \"\"\"\n", "```" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "scrolled": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/huseinzolkepli/Documents/tf-1.15/env/lib/python3.7/site-packages/tensorflow_core/python/client/session.py:1750: UserWarning: An interactive session is already active. This can cause out-of-memory errors in some cases. You must explicitly call `InteractiveSession.close()` to release resources held by the other session(s).\n", " warnings.warn('An interactive session is already active. This can '\n" ] } ], "source": [ "vggvox_v2 = malaya_speech.emotion.deep_model(model = 'vggvox-v2')\n", "deep_speaker = malaya_speech.emotion.deep_model(model = 'deep-speaker')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load Quantized deep model\n", "\n", "To load 8-bit quantized model, simply pass `quantized = True`, default is `False`.\n", "\n", "We can expect slightly accuracy drop from quantized model, and not necessary faster than normal 32-bit float model, totally depends on machine." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING:root:Load quantized model will cause accuracy drop.\n" ] } ], "source": [ "quantized_vggvox_v2 = malaya_speech.emotion.deep_model(model = 'vggvox-v2', quantized = True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### How to classify emotions in an audio sample" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "So we are going to use VAD to help us. Instead we are going to classify as a whole sample, we chunk it into multiple small samples and classify it." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "vad = malaya_speech.vad.deep_model(model = 'vggvox-v2')" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 1.85 ms, sys: 100 µs, total: 1.95 ms\n", "Wall time: 1.98 ms\n" ] } ], "source": [ "%%time\n", "\n", "frames = list(malaya_speech.utils.generator.frames(y, 30, sr))" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p = Pipeline()\n", "pipeline = (\n", " p.batching(5)\n", " .foreach_map(vad.predict)\n", " .flatten()\n", ")\n", "p.visualize()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/huseinzolkepli/Documents/tf-1.15/env/lib/python3.7/site-packages/librosa/core/spectrum.py:224: UserWarning: n_fft=512 is too small for input signal of length=480\n", " n_fft, y.shape[-1]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 33.7 s, sys: 6.16 s, total: 39.9 s\n", "Wall time: 10.4 s\n" ] }, { "data": { "text/plain": [ "dict_keys(['batching', 'predict', 'flatten'])" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%%time\n", "\n", "result = p.emit(frames)\n", "result.keys()" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "frames_vad = [(frame, result['flatten'][no]) for no, frame in enumerate(frames)]\n", "grouped_vad = malaya_speech.utils.group.group_frames(frames_vad)\n", "grouped_vad = malaya_speech.utils.group.group_frames_threshold(grouped_vad, threshold_to_stop = 0.3)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "malaya_speech.extra.visualization.visualize_vad(y, grouped_vad, sr, figsize = (15, 3))" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p_vggvox_v2 = Pipeline()\n", "pipeline = (\n", " p_vggvox_v2.foreach_map(vggvox_v2)\n", " .flatten()\n", ")\n", "p_vggvox_v2.visualize()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p_deep_speaker = Pipeline()\n", "pipeline = (\n", " p_deep_speaker.foreach_map(deep_speaker)\n", " .flatten()\n", ")\n", "p_deep_speaker.visualize()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 4.83 s, sys: 886 ms, total: 5.72 s\n", "Wall time: 1.77 s\n" ] }, { "data": { "text/plain": [ "dict_keys(['emotion', 'flatten'])" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%%time\n", "\n", "samples_vad = [g[0] for g in grouped_vad]\n", "result_vggvox_v2 = p_vggvox_v2.emit(samples_vad)\n", "result_vggvox_v2.keys()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 5.47 s, sys: 927 ms, total: 6.39 s\n", "Wall time: 1.97 s\n" ] }, { "data": { "text/plain": [ "dict_keys(['emotion', 'flatten'])" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%%time\n", "\n", "samples_vad = [g[0] for g in grouped_vad]\n", "result_deep_speaker = p_deep_speaker.emit(samples_vad)\n", "result_deep_speaker.keys()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[(, 'not an emotion'),\n", " (, 'not an emotion'),\n", " (, 'fear'),\n", " (, 'disgust'),\n", " (, 'neutral'),\n", " (, 'disgust'),\n", " (, 'neutral'),\n", " (, 'angry'),\n", " (, 'disgust'),\n", " (, 'sad'),\n", " (, 'disgust'),\n", " (, 'not an emotion'),\n", " (, 'sad'),\n", " (, 'not an emotion'),\n", " (, 'not an emotion'),\n", " (, 'disgust'),\n", " (, 'disgust'),\n", " (, 'disgust'),\n", " (, 'sad'),\n", " (, 'not an emotion'),\n", " (, 'angry'),\n", " (, 'not an emotion')]" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "samples_vad_vggvox_v2 = [(frame, result_vggvox_v2['flatten'][no]) for no, frame in enumerate(samples_vad)]\n", "samples_vad_vggvox_v2" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[(, 'not an emotion'),\n", " (, 'not an emotion'),\n", " (, 'surprise'),\n", " (, 'angry'),\n", " (, 'disgust'),\n", " (, 'happy'),\n", " (, 'angry'),\n", " (, 'angry'),\n", " (, 'neutral'),\n", " (, 'disgust'),\n", " (, 'angry'),\n", " (, 'not an emotion'),\n", " (, 'sad'),\n", " (, 'not an emotion'),\n", " (, 'not an emotion'),\n", " (, 'disgust'),\n", " (, 'disgust'),\n", " (, 'disgust'),\n", " (, 'sad'),\n", " (, 'not an emotion'),\n", " (, 'disgust'),\n", " (, 'disgust')]" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "samples_vad_deep_speaker = [(frame, result_deep_speaker['flatten'][no]) for no, frame in enumerate(samples_vad)]\n", "samples_vad_deep_speaker" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "nrows = 3\n", "fig, ax = plt.subplots(nrows = nrows, ncols = 1)\n", "fig.set_figwidth(20)\n", "fig.set_figheight(nrows * 3)\n", "malaya_speech.extra.visualization.visualize_vad(y, grouped_vad, sr, ax = ax[0])\n", "malaya_speech.extra.visualization.plot_classification(samples_vad_vggvox_v2, \n", " 'emotion detection vggvox v2', ax = ax[1])\n", "malaya_speech.extra.visualization.plot_classification(samples_vad_deep_speaker, \n", " 'emotion detection deep speaker', ax = ax[2])\n", "fig.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p_quantized_vggvox_v2 = Pipeline()\n", "pipeline = (\n", " p_quantized_vggvox_v2.foreach_map(quantized_vggvox_v2)\n", " .flatten()\n", ")\n", "p_quantized_vggvox_v2.visualize()" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 4.84 s, sys: 882 ms, total: 5.72 s\n", "Wall time: 1.49 s\n" ] }, { "data": { "text/plain": [ "dict_keys(['emotion', 'flatten'])" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%%time\n", "\n", "samples_vad = [g[0] for g in grouped_vad]\n", "result_quantized_vggvox_v2 = p_quantized_vggvox_v2.emit(samples_vad)\n", "result_quantized_vggvox_v2.keys()" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[(, 'not an emotion'),\n", " (, 'not an emotion'),\n", " (, 'fear'),\n", " (, 'disgust'),\n", " (, 'neutral'),\n", " (, 'disgust'),\n", " (, 'neutral'),\n", " (, 'angry'),\n", " (, 'disgust'),\n", " (, 'sad'),\n", " (, 'disgust'),\n", " (, 'not an emotion'),\n", " (, 'sad'),\n", " (, 'not an emotion'),\n", " (, 'not an emotion'),\n", " (, 'disgust'),\n", " (, 'disgust'),\n", " (, 'disgust'),\n", " (, 'sad'),\n", " (, 'not an emotion'),\n", " (, 'angry'),\n", " (, 'not an emotion')]" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "samples_vad_quantized_vggvox_v2 = [(frame, result_quantized_vggvox_v2['flatten'][no]) for no, frame in enumerate(samples_vad)]\n", "samples_vad_quantized_vggvox_v2" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "nrows = 3\n", "fig, ax = plt.subplots(nrows = nrows, ncols = 1)\n", "fig.set_figwidth(20)\n", "fig.set_figheight(nrows * 3)\n", "malaya_speech.extra.visualization.visualize_vad(y, grouped_vad, sr, ax = ax[0])\n", "malaya_speech.extra.visualization.plot_classification(samples_vad_vggvox_v2, \n", " 'emotion detection vggvox v2', ax = ax[1])\n", "malaya_speech.extra.visualization.plot_classification(samples_vad_quantized_vggvox_v2, \n", " 'emotion detection quantized vggvox v2', ax = ax[2])\n", "fig.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Reference\n", "\n", "1. Toronto emotional speech set (TESS), https://tspace.library.utoronto.ca/handle/1807/24487\n", "2. The Singaporean White Boy - The Shan and Rozz Show: EP7, https://www.youtube.com/watch?v=HylaY5e1awo&t=2s&ab_channel=Clicknetwork" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.7" } }, "nbformat": 4, "nbformat_minor": 4 }