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"# Detecting sounds with Deep Learning\n",
"> Indentifying Birdcalls with Deep Learning\n",
"\n",
"- author: Hyeongchan Kim, Dmytro Karabash, Maxim Korotkov, Tony Chen\n",
"- categories: [python, data science, deep learning]\n",
"- image: images/resnest-architecture.jpg\n",
"- permalink: /audio/\n",
"- hide: false"
]
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"source": [
"## Introduction"
]
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"Have you ever woken up without understanding what it was, but knowing for sure that some sound isn’t right?\n",
"\n",
"Sound identification is one of our instincts that kept human beings safe. Sounds play a significant role in our life,\n",
"Starting from recognizing a predator nearby to being inspired by music, to lots of human voices, to the cry of a bird.\n",
"Therefore, developing audio classifiers is a crucial task in our lives.\n",
"\n",
"In many cases, it is crucial to classify the source of the sounds and is already widely used for various purposes.\n",
"In music, there's a classifier for the genre of music. Recently similar systems started to be used to classify bird calls, something that historically was done by a profession called Ornithologists.\n",
"Their goal is to categorize which sounds of birds because it is difficult to detect the birdcalls from the fields or noisy environments.\n",
"\n",
"Recently, deep learning (DL) has become one of the popular technologies to solve lots of tasks in our lives due to its accuracy, along with the improvement of computational devices like CPU (Central Processing Unit), GPU (Graphics Processing Unit).\n",
"The below chart shows how big the deep learning market is and the expected size of its future from the aspects of the software, hardware, and services."
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"![](img-kim/deep-learning-market.png)\n",
"\n",
"