260 lines
69 KiB
Plaintext
260 lines
69 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "18344f66",
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"metadata": {},
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"source": [
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"### Load Suara Ke Librosa dan Menghitung nilai MFCC\n",
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"#### MFCC (Mel-frequency cepstral coefficients) dihitung dalam bentuk 2D array (List) "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 224,
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"id": "d1249996",
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"metadata": {},
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"outputs": [],
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"source": [
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"import librosa\n",
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"import librosa.display as display\n",
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"import matplotlib.pyplot as plt\n",
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"import math\n",
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"\n",
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"import warnings\n",
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"warnings.filterwarnings(\"ignore\")\n",
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"\n",
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"y1, sr1 = librosa.load('t1.wav')\n",
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"y2, sr2 = librosa.load('tp2.wav')\n",
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"\n",
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"\n",
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"# plt.subplot(1, 2, 1) \n",
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"mfcc1 = librosa.feature.mfcc(y1,sr1) #Computing MFCC values\n",
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"# # print(mfcc1)\n",
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"# display.specshow(mfcc1)\n",
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"\n",
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"# plt.subplot(1, 2, 2)\n",
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"mfcc2 = librosa.feature.mfcc(y2, sr2)\n",
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"# # print(mfcc2)\n",
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"# display.specshow(mfcc2)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "d6cf40b3",
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"metadata": {},
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"source": [
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"#### Menampilkan visualisasi suara 1 dalam bentuk waveshow "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 232,
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"id": "b181d059",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 1008x360 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# fig, ax = plt.subplots()\n",
|
|
"plt.figure(figsize=(14, 5))\n",
|
|
"display.waveshow(y1, sr=sr1)\n",
|
|
"plt.savefig('spec.png')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "ed9cd674",
|
|
"metadata": {},
|
|
"source": [
|
|
"#### Menampilkan visualisasi suara 2 dalam bentuk waveshow "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 226,
|
|
"id": "63d741cd",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 1008x360 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.figure(figsize=(14, 5))\n",
|
|
"display.waveshow(y2, sr=sr2)\n",
|
|
"plt.savefig('spec1.png')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "d7f4e028",
|
|
"metadata": {},
|
|
"source": [
|
|
"#### Menghitung jarak normlisasi antara dua suara\n",
|
|
"#### Semakin dekat dengan angka 0, semakin mirip/sama kedua suara tersebut"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 227,
|
|
"id": "31bc2889",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Normalized distance between the two sounds: 159990.09994506836\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"from dtw import dtw\n",
|
|
"from numpy.linalg import norm\n",
|
|
"\n",
|
|
"dist, cost, acc_cost, path = dtw(mfcc1.T, mfcc2.T, dist=lambda x, y: norm(x - y, ord=1))\n",
|
|
"print('Normalized distance between the two sounds: '+ dist.__str__())"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "38e21fb6",
|
|
"metadata": {},
|
|
"source": [
|
|
"#### Menghitung kesamaan/kemiripan dua suara dengan sumus cosine_similarity"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 228,
|
|
"id": "ccb9aca0",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"0.6655466708653589\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# def cosine_similarity(a,b):\n",
|
|
"# return dot(a,b) / ( (dot(a,a) **.5) * (dot(b,b) ** .5) )\n",
|
|
"\n",
|
|
"def dot(A,B): \n",
|
|
" return (sum(a*b for a,b in zip(A,B)))\n",
|
|
"\n",
|
|
"def cosine_similarity(a,b):\n",
|
|
" return dot(a,b) / ( (dot(a,a) **.5) * (dot(b,b) ** .5) )\n",
|
|
" \n",
|
|
"# def cosine_similarity1(v1,v2):\n",
|
|
"# # \"compute cosine similarity of v1 to v2: (v1 dot v2)/{||v1||*||v2||)\"\n",
|
|
"# sumxx, sumxy, sumyy = 0, 0, 0\n",
|
|
"# for i in range(len(v1)):\n",
|
|
"# x = v1[i]; y = v2[i]\n",
|
|
"# sumxx += x*x\n",
|
|
"# sumyy += y*y\n",
|
|
"# sumxy += x*y\n",
|
|
"# return sumxy/math.sqrt(sumxx*sumyy)\n",
|
|
"\n",
|
|
"array1 = []\n",
|
|
"for nums in mfcc1:\n",
|
|
" for val in nums:\n",
|
|
" array1.append(val)\n",
|
|
" \n",
|
|
"array2 = []\n",
|
|
"for nums in mfcc2:\n",
|
|
" for val in nums:\n",
|
|
" array2.append(val)\n",
|
|
" \n",
|
|
"# print(cosine_similarity1(array1, array2))\n",
|
|
"print(cosine_similarity(array1, array2))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 229,
|
|
"id": "f85a033e",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# hop_length = 1024\n",
|
|
"# y_ref, sr = librosa.load(\"t1.wav\")\n",
|
|
"# y_comp, sr = librosa.load(\"coba.wav\")\n",
|
|
"# chroma_ref = librosa.feature.chroma_cqt(y=y_ref, \n",
|
|
"# sr=sr,hop_length=hop_length)\n",
|
|
"# chroma_comp = librosa.feature.chroma_cqt(y=y_comp, \n",
|
|
"# sr=sr, hop_length=hop_length)\n",
|
|
"\n",
|
|
"# x_ref = librosa.feature.stack_memory(\n",
|
|
"# chroma_ref, n_steps=10, delay=3)\n",
|
|
"# x_comp = librosa.feature.stack_memory(\n",
|
|
"# chroma_comp, n_steps=10, delay=3)\n",
|
|
"# xsim = librosa.segment.cross_similarity(x_comp, x_ref)\n",
|
|
"\n",
|
|
"# # print(xsim)\n",
|
|
"\n",
|
|
"# fig, ax = plt.subplots()\n",
|
|
"# display.specshow(xsim, x_axis='s', y_axis='time', hop_length=hop_length, ax=ax)\n",
|
|
"# plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 230,
|
|
"id": "d9433586",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# plt.imshow(cost.T, origin='lower', cmap=plt.get_cmap('gray'), interpolation='nearest')\n",
|
|
"# plt.plot(path[0], path[1], 'w') #creating plot for DTW\n",
|
|
"\n",
|
|
"# plt.show()"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"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": "3.9.6"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|