{"id":491,"date":"2016-07-16T23:18:41","date_gmt":"2016-07-17T02:18:41","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=491"},"modified":"2016-07-16T23:18:41","modified_gmt":"2016-07-17T02:18:41","slug":"vol8-no3-art3","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol8-no3\/vol8-no3-art3\/","title":{"rendered":"A Spoken Word Boundaries Detection Strategy for Voice Command Recognition"},"content":{"rendered":"<p><strong>T\u00edtulo:<\/strong> A Spoken Word Boundaries Detection Strategy for Voice Command Recognition<\/p>\n<p><strong>Autores:<\/strong> Peretta, Igor S.; Lima, Gerson F. M.; Tavares, Josimeire A.; Yamanaka, Keiji<\/p>\n<p align=\"justify\"><strong>Resumo:<\/strong> The use of voice commands as a new way of interaction between man and machine is the subject of several researches in recent years and has already been produced commercial and freeware applications. However, considering the achieved results, there is still a great development potential in this area, particularly in Brazilian Portuguese language. This work proposes: 1. an efficient method of detecting spoken word boundaries from a recorded signal, using Teager Energy Operator and FIR Filter; 2. the use of wavelet transform and wavelet packet filter bank as a main tool for feature extraction to feed a multi-layer artificial neural network to recognize a limited vocabulary of voice commands. The system was developed using a dataset of spoken words from 50 speakers, using normal pronunciation speed and in an environment without any noise control. Tests with the system show a very good classification rate and noise robustness.<\/p>\n<p><strong>Palavras-chave:<\/strong> Voice command recognition; spoken word boundaries detection; teager energy operator; discrete wavelet transform; wavelet packet filter bank; artificial neural network<\/p>\n<p><strong>P\u00e1ginas:<\/strong> 9<\/p>\n<p><strong>C\u00f3digo DOI:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol8-no3-art3\">10.21528\/lmln-vol8-no3-art3<\/a><\/p>\n<p><strong>Artigo em PDF:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol8-no3-art3.pdf\" rel=\"\">vol8-no3-art3.pdf<\/a><\/p>\n<p><strong>Arquivo BibTex:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol8-no3-art3.bib\" rel=\"\">vol8-no3-art3.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo: A Spoken Word Boundaries Detection Strategy for Voice Command Recognition Autores: Peretta, Igor S.; Lima, Gerson F. M.; Tavares, Josimeire A.; Yamanaka, Keiji Resumo: The use of voice commands as a new way of interaction between man and machine <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol8-no3\/vol8-no3-art3\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":485,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-491","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>A Spoken Word Boundaries Detection Strategy for Voice Command Recognition - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol8-no3\/vol8-no3-art3\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A Spoken Word Boundaries Detection Strategy for Voice Command Recognition - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: A Spoken Word Boundaries Detection Strategy for Voice Command Recognition Autores: Peretta, Igor S.; Lima, Gerson F. M.; Tavares, Josimeire A.; Yamanaka, Keiji Resumo: The use of voice commands as a new way of interaction between man and machine Read More ...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol8-no3\/vol8-no3-art3\/\" \/>\n<meta property=\"og:site_name\" content=\"Learning and NonLinear Models\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minuto\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol8-no3\/vol8-no3-art3\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol8-no3\/vol8-no3-art3\/\",\"name\":\"A Spoken Word Boundaries Detection Strategy for Voice Command Recognition - Learning and NonLinear Models\",\"isPartOf\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\"},\"datePublished\":\"2016-07-17T02:18:41+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol8-no3\/vol8-no3-art3\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol8-no3\/vol8-no3-art3\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol8-no3\/vol8-no3-art3\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Browse issues\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Learning &#038; Nonlinear Models &#8211; L&#038;NLM &#8211; Volume 8 &#8211; N\u00famero 3\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol8-no3\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"A Spoken Word Boundaries Detection Strategy for Voice Command Recognition\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/\",\"name\":\"Learning and NonLinear Models\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/sbia.org.br\/lnlm\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"pt-BR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#organization\",\"name\":\"Learning and NonLinear Models\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png\",\"contentUrl\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png\",\"width\":398,\"height\":94,\"caption\":\"Learning and NonLinear Models\"},\"image\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"A Spoken Word Boundaries Detection Strategy for Voice Command Recognition - Learning and NonLinear Models","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol8-no3\/vol8-no3-art3\/","og_locale":"pt_BR","og_type":"article","og_title":"A Spoken Word Boundaries Detection Strategy for Voice Command Recognition - Learning and NonLinear Models","og_description":"T\u00edtulo: A Spoken Word Boundaries Detection Strategy for Voice Command Recognition Autores: Peretta, Igor S.; Lima, Gerson F. 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