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Trends in Security Information
The HSD Trendmonitor is designed to provide access to relevant content on various subjects in the safety and security domain, to identify relevant developments and to connect knowledge and organisations. The safety and security domain encompasses a vast number of subjects. Four relevant taxonomies (type of threat or opportunity, victim, source of threat and domain of application) have been constructed in order to visualize all of these subjects. The taxonomies and related category descriptions have been carefully composed according to other taxonomies, European and international standards and our own expertise.
In order to identify safety and security related trends, relevant reports and HSD news articles are continuously scanned, analysed and classified by hand according to the four taxonomies. This results in a wide array of observations, which we call ‘Trend Snippets’. Multiple Trend Snippets combined can provide insights into safety and security trends. The size of the circles shows the relative weight of the topic, the filters can be used to further select the most relevant content for you. If you have an addition, question or remark, drop us a line at info@securitydelta.nl.
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Speech and text recognition
Speech and text recognition is an interdisciplinary field that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. Speech recognition is the capability of an electronic device to understand spoken words. A microphone records a person's voice and the hardware converts the signal from analog sound waves to digital audio. The audio data is then processed by software, which interprets the sound as individual words. Technologies as big data and deep learning or AI are used to process the data.
Many phones and computers have built in speech-to-text or dictation software. This capability allows you to record text as well as perform basic system commands. Another type of speech recognition is interactive speech, which is common on mobile devices, such as smartphones and tablets. Both iOS and Android devices allow you to speak to your phone and receive a verbal response, you can ask for example Siri to save a reminder on your phone, tell you the weather forecast, give you directions, or answer many other questions. This type of speech recognition is considered a natural user interface (or NUI), since it responds naturally to your spoken input.
Speech and text recognition is and can be used in a wide variety of sectors, assisting nurses, police and teachers. As many speech recognition systems only support English, this requires a unique dictionary for each language and extra algorithms to understand and process different accents, slang, synonyms, acronyms that, in addition, often also differ per sector.
Speech and text recognition is an interdisciplinary field that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. Speech recognition is the capability of an electronic device to understand spoken words. A microphone records a person's voice and the hardware converts the signal from analog sound waves to digital audio. The audio data is then processed by software, which interprets the sound as individual words. Technologies as big data and deep learning or AI are used to process the data.
Many phones and computers have built in speech-to-text or dictation software. This capability allows you to record text as well as perform basic system commands. Another type of speech recognition is interactive speech, which is common on mobile devices, such as smartphones and tablets. Both iOS and Android devices allow you to speak to your phone and receive a verbal response, you can ask for example Siri to save a reminder on your phone, tell you the weather forecast, give you directions, or answer many other questions. This type of speech recognition is considered a natural user interface (or NUI), since it responds naturally to your spoken input.
Speech and text recognition is and can be used in a wide variety of sectors, assisting nurses, police and teachers. As many speech recognition systems only support English, this requires a unique dictionary for each language and extra algorithms to understand and process different accents, slang, synonyms, acronyms that, in addition, often also differ per sector.
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