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Space roar: NASA detected the loudest sound in the universe, but what is it?
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| bet | 2/7 | | Sana | 08.01.2024 | | Hajmi | 0,52 Mb. | | #132475 |
Bog'liq 1 TIZIM SIGNAL TOP 1
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Speech recognition technologies are the most important and indispensable branch of the evolutionary tree in artificial intelligence. Usage fields of speech recognition technologies increase widespread due to easy development and practicability. The best known of these applications is Apple’s Siri, Amazon’s Alexa, Google’s Google Assistant, and Microsoft’s Cortana. These are based on basis of NLP algorithms. Studies in the field of NLP date back to the 1950s. In this sense, like the algorithms and sound processing techniques developed over time, they started to work in an integrated manner. With the strengthening of computers, the use of these techniques has continued to be widespread and developed.
In the traditional method, speech recognition progressed more by converting speech to text, analyzing it, then converting it back to speech. On the other side, direct speaker identification systems have been developed with new current algorithms. Thus, architectures that focus directly on the sound without any textual transformation processes were built.
By using deep learning methods, new possibilities encountered by the system in different issues can be reprocessed. In this way, content-independent systems can be produced. Considering the development of speaker identification systems, it is aimed that all the steps mentioned will work independently from subject-based variables using deep learning methods. Additionally, a system to be prepared in this direction must have high software and hardware (such as GPU) processing capabilities.
Image and sound are unstructured data. However, the image has more features that can be processed than the sound. So, deep learning algorithms are widely used for image processing or computer vision. However, it has recently been realized that processing the sound with deep learning is more effective than the traditional methods.
Algorithmic Pattern of Speakers Identification
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