{"id":2705,"date":"2022-03-11T12:27:16","date_gmt":"2022-03-11T09:27:16","guid":{"rendered":"https:\/\/gmkas.com\/en\/?page_id=2705"},"modified":"2023-08-10T14:02:19","modified_gmt":"2023-08-10T11:02:19","slug":"audio-analysis","status":"publish","type":"page","link":"https:\/\/gmkas.com\/en\/audio-analysis\/","title":{"rendered":"Audio Analysis"},"content":{"rendered":"<section class=\"wpb-content-wrapper\"><p>[vc_row gap=&#8221;10&#8243;][vc_column width=&#8221;1\/2&#8243; icons_position=&#8221;left&#8221;][vc_single_image image=&#8221;4878&#8243; img_size=&#8221;full&#8221; alignment=&#8221;right&#8221; style=&#8221;vc_box_rounded&#8221;][vc_empty_space hide_on_wide=&#8221;&#8221; hide_on_desktop=&#8221;&#8221; hide_on_notebook=&#8221;&#8221; hide_on_tablet=&#8221;&#8221; hide_on_mobile=&#8221;&#8221;][\/vc_column][vc_column width=&#8221;1\/2&#8243; icons_position=&#8221;left&#8221;][vc_column_text]Voice, any sound obtained from any recording device that carries evidential value and can help clarify events can be collected and accepted as evidence. These sounds can be captured using analog or digital recording devices, audio recording video cameras and cameras, some security cameras with built-in microphones, cell phones, and any other recording device.<br \/>\nSometimes, short conversations or unidentified noises may contain clues to unresolved issues, or their analysis can provide a clear view of all details. The key examination areas include the association of conversations and texts other than handwriting with individuals, the originality of sounds within the recordings, noise cleaning, speaker profiling, and signal source identification.<br \/>\nAt GMKA, we provide meticulous services with a scientific discipline that uses basic scientific methods and analytical techniques to determine the authenticity and originality of sound or audio recordings and to create evidence about relevant recordings. [\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column icons_position=&#8221;left&#8221;][vc_empty_space hide_on_wide=&#8221;&#8221; hide_on_desktop=&#8221;&#8221; hide_on_notebook=&#8221;&#8221; hide_on_tablet=&#8221;&#8221; hide_on_mobile=&#8221;&#8221;][vc_column_text]We can also respond to requests for converting conversations into text and recognition examinations by obtaining comparison records with applicable criteria. Speaker profiling examines a person&#8217;s age, gender, mouth, speech disorders, and errors among numerous personal attributes based on their speech<br \/>\n<strong>The fields of forensic audio examination include the following:<\/strong>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column icons_position=&#8221;left&#8221;][vc_empty_space hide_on_wide=&#8221;&#8221; hide_on_desktop=&#8221;&#8221; hide_on_notebook=&#8221;&#8221; hide_on_tablet=&#8221;&#8221; hide_on_mobile=&#8221;&#8221;][vc_column_text]<\/p>\n<ul>\n<li><strong>Speaker Identification Examinations<\/strong><\/li>\n<\/ul>\n<p>Speaker identification examinations are conducted to determine whether speeches are produced by a specific individual. This is done by comparing an unknown voice to one or more known voices to identify similarities or differences. Speaker identification and recognition examinations involve a multifaceted analysis utilizing auditory and visual senses.[\/vc_column_text][vc_empty_space hide_on_wide=&#8221;&#8221; hide_on_desktop=&#8221;&#8221; hide_on_notebook=&#8221;&#8221; hide_on_tablet=&#8221;&#8221; hide_on_mobile=&#8221;&#8221;][vc_column_text]<\/p>\n<ul>\n<li><strong>\u00a0Audio Enhancement Examinations<\/strong><\/li>\n<\/ul>\n<p>Audio enhancement involves analyzing the speech signal on recordings or cleaning noise that hinders audibility. It includes filtering, <strong>signal enhancement<\/strong>, and clarification on unclear recordings. This analysis aims to eliminate unwanted signals and make the desired signal (e.g., human voice, object sound, etc.) understandable.[\/vc_column_text][vc_empty_space hide_on_wide=&#8221;&#8221; hide_on_desktop=&#8221;&#8221; hide_on_notebook=&#8221;&#8221; hide_on_tablet=&#8221;&#8221; hide_on_mobile=&#8221;&#8221;][vc_column_text]<\/p>\n<ul>\n<li><strong>Editing, Montage, Manipulation Examinations<\/strong><\/li>\n<\/ul>\n<p>Examinations of recording reliability investigate whether manipulative editing is present on the recording, and whether the recording preserves its original state. The examination generally seeks to answer questions about any<strong> additions, deletions<\/strong>, or other interventions on the recordings.[\/vc_column_text][vc_empty_space hide_on_wide=&#8221;&#8221; hide_on_desktop=&#8221;&#8221; hide_on_notebook=&#8221;&#8221; hide_on_tablet=&#8221;&#8221; hide_on_mobile=&#8221;&#8221;][vc_column_text]<\/p>\n<ul>\n<li><strong>Speech Analysis, Transcription Examinations<\/strong><\/li>\n<\/ul>\n<p>Speech analysis and transcription involve <strong>analyzing<\/strong> and <strong>transcribing<\/strong> the sounds that result from audio enhancement examinations of unclear recordings. Depending on the recording quality, enhancement time, and total recording duration, the time required for speech analysis and transcription may vary. This examination method is most commonly requested in forensic audio.[\/vc_column_text][vc_empty_space hide_on_wide=&#8221;&#8221; hide_on_desktop=&#8221;&#8221; hide_on_notebook=&#8221;&#8221; hide_on_tablet=&#8221;&#8221; hide_on_mobile=&#8221;&#8221;][vc_column_text]Through examinations within and between texts, we provide services such as determining the identity of individuals, identifying discrepancies in testimonies, matching unidentified texts, and identifying the same person between any two texts.<\/p>\n<p>(Note: This translation is based on the provided text and may require context-specific adjustments if further context or specific terminology is available.)[\/vc_column_text][vc_empty_space hide_on_wide=&#8221;&#8221; hide_on_desktop=&#8221;&#8221; hide_on_notebook=&#8221;&#8221; hide_on_tablet=&#8221;&#8221; hide_on_mobile=&#8221;&#8221;][\/vc_column][\/vc_row][vc_row gap=&#8221;10&#8243;][vc_column width=&#8221;1\/2&#8243; icons_position=&#8221;left&#8221;][vc_single_image image=&#8221;4896&#8243; img_size=&#8221;full&#8221; style=&#8221;vc_box_rounded&#8221;][\/vc_column][vc_column width=&#8221;1\/2&#8243; icons_position=&#8221;left&#8221;][vc_single_image image=&#8221;4897&#8243; img_size=&#8221;full&#8221; style=&#8221;vc_box_rounded&#8221;][\/vc_column][\/vc_row]<\/p>\n<\/section>","protected":false},"excerpt":{"rendered":"<p>[vc_row gap=&#8221;10&#8243;][vc_column width=&#8221;1\/2&#8243; icons_position=&#8221;left&#8221;][vc_single_image image=&#8221;4878&#8243; img_size=&#8221;full&#8221; alignment=&#8221;right&#8221; style=&#8221;vc_box_rounded&#8221;][vc_empty_space hide_on_wide=&#8221;&#8221; hide_on_desktop=&#8221;&#8221; hide_on_notebook=&#8221;&#8221; hide_on_tablet=&#8221;&#8221; hide_on_mobile=&#8221;&#8221;][\/vc_column][vc_column width=&#8221;1\/2&#8243; icons_position=&#8221;left&#8221;][vc_column_text]Voice, any sound obtained from any recording device that carries evidential&hellip;<\/p>\n","protected":false},"author":1,"featured_media":2731,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/gmkas.com\/en\/wp-json\/wp\/v2\/pages\/2705"}],"collection":[{"href":"https:\/\/gmkas.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/gmkas.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/gmkas.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/gmkas.com\/en\/wp-json\/wp\/v2\/comments?post=2705"}],"version-history":[{"count":20,"href":"https:\/\/gmkas.com\/en\/wp-json\/wp\/v2\/pages\/2705\/revisions"}],"predecessor-version":[{"id":5782,"href":"https:\/\/gmkas.com\/en\/wp-json\/wp\/v2\/pages\/2705\/revisions\/5782"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gmkas.com\/en\/wp-json\/wp\/v2\/media\/2731"}],"wp:attachment":[{"href":"https:\/\/gmkas.com\/en\/wp-json\/wp\/v2\/media?parent=2705"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}