{"id":186288,"date":"2024-06-21T06:30:00","date_gmt":"2024-06-21T05:30:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=186288"},"modified":"2024-06-19T17:13:54","modified_gmt":"2024-06-19T16:13:54","slug":"all-about-voice-recognition","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/all-about-voice-recognition","title":{"rendered":"Voice recognition: definition, origins, and technological applications"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"186288\" class=\"elementor elementor-186288\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-aa20c89 e-flex e-con-boxed e-con\" data-id=\"aa20c89\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-54058b0 elementor-widget elementor-widget-heading\" data-id=\"54058b0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Talking to one\u2019s smartphone has become a common pastime. Many voice recognition systems have proven themselves to be highly adept. Nevertheless, the journey towards understanding human speech has extended over several decades.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8a70e2c elementor-widget elementor-widget-text-editor\" data-id=\"8a70e2c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">Voice recognition is now a ubiquitous service across a broad range of sectors:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Many of us routinely use it to <\/span><b>interact with our smartphones or various applications<\/b><span style=\"font-weight: 400;\">;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Following a medical appointment, it&#8217;s common for practitioners to use this technology to <\/span><b>transcribe their reports<\/b><span style=\"font-weight: 400;\">;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It\u2019s frequently through voice commands that we verify our bank account balances;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">etc.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1c570ec elementor-widget elementor-widget-text-editor\" data-id=\"1c570ec\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">However, although this technology has become widespread, reaching a satisfactory level of accuracy took decades of development.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-df5a026 e-flex e-con-boxed e-con\" data-id=\"df5a026\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-234b722 elementor-widget elementor-widget-heading\" data-id=\"234b722\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">A Brief History of Voice Recognition<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0a29c1d elementor-widget elementor-widget-text-editor\" data-id=\"0a29c1d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><b>The development of voice recognition is based on over 70 years of scientific inquiry!<\/b><span style=\"font-weight: 400;\"> The initial studies in this domain date back to the early 1950s.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7500bc0 elementor-widget elementor-widget-heading\" data-id=\"7500bc0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Audrey<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c13753 elementor-widget elementor-widget-image\" data-id=\"5c13753\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1000\" height=\"523\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/06\/audrey-speech-recognition.jpeg\" class=\"attachment-full size-full wp-image-186291\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-94acdb8 elementor-widget elementor-widget-text-editor\" data-id=\"94acdb8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">In <\/span><b>1952<\/b><span style=\"font-weight: 400;\">, Audrey, the first-ever voice recognition system, made its debut at Bell Laboratories. Capable of recognizing the digits 0 through 9 when spoken individually with <\/span><b>a 99% accuracy rate<\/b><span style=\"font-weight: 400;\">, this groundbreaking rate was, however, primarily achieved when the system was used by its inventor. With other users, accuracy fell to around 70 to 80%. From the beginning, it was clear: the human voice is diverse, and each individual has their own unique manner of speaking. Thus, voice recognition presented a multifaceted challenge.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d73a97b elementor-widget elementor-widget-heading\" data-id=\"d73a97b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Shoebox<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9da3094 elementor-widget elementor-widget-text-editor\" data-id=\"9da3094\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">A decade later, in April 1962, IBM presented Shoebox, a voice-operated calculator, at a global fair. Developed by William C. Dersch in San Jose, California, Shoebox not only recognized digits 0 through 9 like Audrey, but also understood sixteen basic English words corresponding to simple mathematical operations: &#8220;plus,&#8221; &#8220;minus,&#8221; &#8220;total,&#8221; &#8230;<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3f88894 elementor-widget elementor-widget-heading\" data-id=\"3f88894\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Harpy<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-82da642 elementor-widget elementor-widget-image\" data-id=\"82da642\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"320\" height=\"231\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/06\/harpy-speech-recognition.jpg\" class=\"attachment-full size-full wp-image-186292\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/06\/harpy-speech-recognition.jpg 320w, https:\/\/datascientest.com\/en\/files\/2024\/06\/harpy-speech-recognition-300x217.jpg 300w\" sizes=\"(max-width: 320px) 100vw, 320px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-709c721 elementor-widget elementor-widget-text-editor\" data-id=\"709c721\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">In the early <\/span><b>1970s<\/b><span style=\"font-weight: 400;\">, driven by the US defense agency DARPA, Carnegie Mellon University developed the <\/span><b>Harpy system<\/b><span style=\"font-weight: 400;\">. Harpy could precisely identify 1,011 words, mirroring the vocabulary of a three-year-old child. This achievement marked a milestone and inspired a surge of interest in voice recognition research.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c5ac09e elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"c5ac09e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Build voice recognition software<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-55c9156 elementor-widget elementor-widget-heading\" data-id=\"55c9156\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Tangora<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7d11fea elementor-widget elementor-widget-text-editor\" data-id=\"7d11fea\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Until this point, phoneme detection (basic units of sound) had been utilized to reconstruct words. Starting from the <\/span><b>1980s<\/b><span style=\"font-weight: 400;\">, voice recognition began adopting new methodologies, including statistical models. It is with this foundation that <\/span><b>Tangora by IBM<\/b><span style=\"font-weight: 400;\"> was developed, aiming to predict the words that should logically follow based on the <a href=\"https:\/\/datascientest.com\/en\/natural-language-processing-definition-and-principles\">analysis of preceding words<\/a>. Tangora required roughly twenty minutes of training and could recognize 20,000 words and complete sentences afterwards.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b21fe8f elementor-widget elementor-widget-heading\" data-id=\"b21fe8f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Dragon Naturally Speaking<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e3b3d04 elementor-widget elementor-widget-image\" data-id=\"e3b3d04\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"413\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/06\/Dragon-Naturally-Speaking-voice-recognition.jpg\" class=\"attachment-full size-full wp-image-186293\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/06\/Dragon-Naturally-Speaking-voice-recognition.jpg 800w, https:\/\/datascientest.com\/en\/files\/2024\/06\/Dragon-Naturally-Speaking-voice-recognition-300x155.jpg 300w, https:\/\/datascientest.com\/en\/files\/2024\/06\/Dragon-Naturally-Speaking-voice-recognition-768x396.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-025bbe4 elementor-widget elementor-widget-text-editor\" data-id=\"025bbe4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">In 1997, Nuance introduced its software <\/span><b>Dragon Professional<\/b><span style=\"font-weight: 400;\">, marking a significant advance. This tool necessitated several hours of training, but once accustomed, users could dictate freely without the need to physically type out their texts. Dragon could process 100 words per minute and gained popularity among professionals like doctors and lawyers. Following this, the Windows XP edition released in 2001 included a voice recognition feature.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ec59461 elementor-widget elementor-widget-heading\" data-id=\"ec59461\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Google Voice Search \/ Google Assistant<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-06b5d82 elementor-widget elementor-widget-text-editor\" data-id=\"06b5d82\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">In the 2000s, <\/span><b>automated voice processing<\/b><span style=\"font-weight: 400;\"> began to incorporate artificial intelligence. Google Voice Search, launched in 2008, decided to merge <a href=\"https:\/\/datascientest.com\/en\/machine-learning-what-is-it-and-why-does-it-change-the-world\">machine learning algorithms<\/a> with high-capacity servers for processing. This led to substantial progress. This service, which eventually evolved into <\/span><b>Google Assistant<\/b><span style=\"font-weight: 400;\">, wasn&#8217;t marketed as extensively as it could have been and was soon outshone by other services.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6016e11 elementor-widget elementor-widget-heading\" data-id=\"6016e11\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Siri<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5b24595 elementor-widget elementor-widget-image\" data-id=\"5b24595\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"700\" height=\"385\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/06\/apple-siri-voice-recognition.jpg\" class=\"attachment-full size-full wp-image-186294\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/06\/apple-siri-voice-recognition.jpg 700w, https:\/\/datascientest.com\/en\/files\/2024\/06\/apple-siri-voice-recognition-300x165.jpg 300w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a660784 elementor-widget elementor-widget-text-editor\" data-id=\"a660784\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">In <\/span><b>2011<\/b><span style=\"font-weight: 400;\">, Apple made headlines by announcing Siri, a virtual assistant capable of comprehending spoken commands, would be featured on all new <\/span><b>iPhones<\/b><span style=\"font-weight: 400;\">. This announcement was a landmark moment, as voice recognition became a tool of the masses. Following closely behind, Amazon\u2019s Alexa and Microsoft\u2019s Cortana were released in 2014.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3c8e080 e-flex e-con-boxed e-con\" data-id=\"3c8e080\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4adf81c elementor-widget elementor-widget-heading\" data-id=\"4adf81c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How does voice recognition work?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c1c9d7a elementor-widget elementor-widget-text-editor\" data-id=\"c1c9d7a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">So, how exactly does a voice recognition application function today?<\/span><\/p><p><span style=\"font-weight: 400;\">The <\/span><b>collection of acoustic data<\/b><span style=\"font-weight: 400;\"> begins with a microphone capturing sound, transforming these signals into electrical impulses, then converting these impulses from analog to digital format.<\/span><\/p><p><span style=\"font-weight: 400;\">At this stage, <\/span><b>machine learning plays a crucial role<\/b><span style=\"font-weight: 400;\">. It correlates phonemes with linguistic units, matches the analyzed sound frequencies to words, and deduces the most suitable sequence of words. The system relies on reference models to guide it through this process, helping it identify themost probable sequences of words. Techniques from <a href=\"https:\/\/datascientest.com\/en\/natural-language-processing-definition-and-principles\">natural language processing<\/a> are employed to ensure the <\/span><b>extraction of meaning from speech<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aaa63a4 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"aaa63a4\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Develop Machine Learing algorithms<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9cd990f elementor-widget elementor-widget-html\" data-id=\"9cd990f\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What is voice recognition?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Speech recognition is a technology that enables computers and other devices to understand and process human speech. It converts spoken words into text or actions.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"How does voice recognition work?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Voice recognition uses machine learning algorithms to analyse the sounds, frequencies and patterns of human speech. It compares these sounds with a database of words and phrases to identify what is being said.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What are the most common applications for voice recognition?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"\\n-Virtual assistants (such as Siri, Google Assistant, Alexa) \\n-Automated transcription \\n-Voice commands to control devices \\n-Automated customer services \\n-Accessibility for people with disabilities\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Who are the main suppliers of voice recognition technologies?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"\\n - Google (Google Cloud Speech-to-Text) \\n - Apple (Siri) \\n - Amazon (Alexa) \\n - Microsoft (Cortana, Azure Speech Services) \\n - IBM (Watson Speech to Text)\"\r\n    }\r\n  }]\r\n}\r\n<\/script>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Talking to one\u2019s smartphone has become a common pastime. Many voice recognition systems have proven themselves to be highly adept. Nevertheless, the journey towards understanding human speech has extended over several decades. Voice recognition is now a ubiquitous service across a broad range of sectors: Many of us routinely use it to interact with our [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":186290,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2427],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Voice recognition: definition, origins, and technological applications<\/title>\n<meta name=\"description\" content=\"Discover innovative applications in various sectors of voice recognition and how this technology is transforming our interaction with digital devices.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/all-about-voice-recognition\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Voice recognition: definition, origins, and technological applications\" \/>\n<meta property=\"og:description\" content=\"Talking to one\u2019s smartphone has become a common pastime. Many voice recognition systems have proven themselves to be highly adept. Nevertheless, the\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/en\/all-about-voice-recognition\" \/>\n<meta property=\"og:site_name\" content=\"Data Science Courses | DataScientest\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataScientestEN\" \/>\n<meta property=\"article:published_time\" content=\"2024-06-21T05:30:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-06-19T16:13:54+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/en\/files\/2024\/06\/voice-recognition-datascientest.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"686\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Daniel\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:site\" 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