{"id":84519,"date":"2020-12-23T15:36:28","date_gmt":"2020-12-23T14:36:28","guid":{"rendered":"https:\/\/aholab.ehu.eus\/ressint\/?page_id=84519"},"modified":"2023-01-19T11:44:47","modified_gmt":"2023-01-19T10:44:47","slug":"ressint-voice-restauration-with-silent-speech-interfaces","status":"publish","type":"page","link":"https:\/\/aholab.ehu.eus\/ressint\/","title":{"rendered":"ReSSInt. Voice Restoration with \u0003Silent Speech Interfaces"},"content":{"rendered":"

[vc_row unlock_row_content=”yes” row_height_percent=”0″ override_padding=”yes” h_padding=”0″ top_padding=”0″ bottom_padding=”0″ overlay_alpha=”50″ gutter_size=”0″ column_width_percent=”100″ shift_y=”0″ z_index=”0″ top_divider=”flow-opacity” bottom_divider=”curve-opacity” css=”.vc_custom_1604947668033{margin-top: 0px !important;margin-bottom: 0px !important;border-top-width: 0px !important;border-right-width: 0px !important;border-bottom-width: 0px !important;border-left-width: 0px !important;padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;}” el_class=”home-header” row_height_pixel=”600″][vc_column column_width_percent=”100″ position_horizontal=”left” gutter_size=”0″ override_padding=”yes” column_padding=”0″ expand_height=”yes” back_image=”84263″ back_position=”right top” overlay_alpha=”50″ shift_x=”0″ shift_y=”-5″ shift_y_down=”5″ z_index=”0″ medium_width=”7″ mobile_width=”7″ css_animation=”left-t-right” width=”1\/1″ css=”.vc_custom_1604910791581{border-top-width: 0px !important;border-right-width: 0px !important;border-bottom-width: 0px !important;border-left-width: 0px !important;padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;}” back_size=”contain”][vc_custom_heading text_height=”” css_animation=”bottom-t-top” animation_delay=”1400″ el_class=”home-tit”]A project so that\u00a0those
\nwho do not have a voice
\ncan communicate.[\/vc_custom_heading][vc_empty_space empty_h=”5″ el_class=”home-space”][\/vc_column][\/vc_row][vc_row unlock_row_content=”yes” row_height_percent=”0″ override_padding=”yes” h_padding=”3″ top_padding=”0″ bottom_padding=”2″ overlay_alpha=”50″ equal_height=”yes” gutter_size=”3″ column_width_percent=”100″ shift_y=”0″ z_index=”0″ css=”.vc_custom_1604992971466{margin-top: 0px !important;margin-bottom: 0px !important;border-top-width: 0px !important;border-right-width: 0px !important;border-bottom-width: 0px !important;border-left-width: 0px !important;padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;}” el_class=”home-2″][vc_column column_width_percent=”100″ align_horizontal=”align_center” gutter_size=”3″ overlay_alpha=”50″ shift_x=”0″ shift_y=”-2″ shift_y_down=”0″ z_index=”0″ medium_width=”4″ align_mobile=”align_left_mobile” mobile_width=”4″ width=”1\/2″][vc_single_image media=”85113″ media_width_use_pixel=”yes” alignment=”right” shape=”img-circle” shadow=”yes” shadow_weight=”sm” css_animation=”bottom-t-top” animation_delay=”800″ media_width_pixel=”250″ uncode_shortcode_id=”110203″][\/vc_column][vc_column column_width_percent=”100″ gutter_size=”2″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”4″ mobile_width=”0″ css_animation=”alpha-anim” animation_delay=”400″ width=”1\/2″][vc_empty_space empty_h=”2″ mobile_visibility=”yes”][vc_custom_heading heading_semantic=”h4″ text_size=”h4″ text_height=”” css_animation=”curtain” el_class=”home-tit-2″]What is ReSSInt Project?[\/vc_custom_heading][vc_column_text]ReSSInt aims to investigate the use of silent speech interfaces to restore communication in people who have been deprived of the ability to speak<\/strong>. Silent speech interfaces are devices that capture non-acoustic biological signals generated during the speech production process and use them to predict the desired message.[\/vc_column_text][vc_column_text]Although SSI interfaces have been investigated mainly in the context of speech recognition \u2014Silent-Speech-to-Text\u2014 , this project focuses on direct speech synthesis techniques, thus directly generating the speech waveform corresponding to your departure.[\/vc_column_text][\/vc_column][\/vc_row][vc_row unlock_row_content=”yes” row_height_percent=”0″ override_padding=”yes” h_padding=”2″ top_padding=”0″ bottom_padding=”2″ overlay_alpha=”50″ equal_height=”yes” gutter_size=”3″ column_width_percent=”100″ shift_y=”0″ z_index=”0″ css=”.vc_custom_1609766991366{margin-top: 0px !important;margin-bottom: 0px !important;border-top-width: 0px !important;border-right-width: 0px !important;border-bottom-width: 0px !important;border-left-width: 0px !important;padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;}” el_class=”home-3″][vc_column column_width_percent=”100″ align_horizontal=”align_center” gutter_size=”2″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”0″ mobile_width=”0″ css_animation=”alpha-anim” animation_delay=”400″ width=”1\/1″][vc_empty_space empty_h=”2″][vc_custom_heading heading_semantic=”h4″ text_size=”h4″ text_height=”” css_animation=”curtain” el_class=”home-tit-2″]What biological signals are we going to investigate?[\/vc_custom_heading][vc_single_image media=”84296″ media_width_use_pixel=”yes” alignment=”center” css_animation=”bottom-t-top” animation_delay=”500″ media_width_pixel=”600″][vc_column_text css=”.vc_custom_1608735360771{margin-bottom: 0px !important;border-bottom-width: 0px !important;padding-bottom: 0px !important;}”]<\/p>\n

In this project, two types of biological signals will be investigated:<\/p>\n

[\/vc_column_text][vc_row_inner limit_content=””][vc_column_inner column_width_percent=”100″ align_horizontal=”align_right” gutter_size=”2″ override_padding=”yes” column_padding=”0″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”4″ align_mobile=”align_center_mobile” mobile_width=”0″ css_animation=”alpha-anim” animation_delay=”200″ width=”1\/2″][vc_column_text]<\/p>\n

Subproject 1 (SP1)<\/h5>\n

Electromyographic signals produced by the speech
\nproduction apparatus will be captured and processed.[\/vc_column_text][vc_button size=”btn-sm” radius=”btn-round” hover_fx=”outlined” outline=”yes” custom_typo=”yes” font_family=”font-555555″ font_weight=”700″ text_transform=”uppercase” letter_spacing=”fontspace-475804-1″ border_width=”0″ scale_mobile=”no” link=”url:https%3A%2F%2Faholab.ehu.eus%2Fressint%2Fressint%2Fsubprojectsp1%2F|title:M%C3%A1s%20informaci%C3%B3n”]More about SP1[\/vc_button][\/vc_column_inner][vc_column_inner column_width_percent=”100″ gutter_size=”2″ override_padding=”yes” column_padding=”0″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”4″ align_mobile=”align_center_mobile” mobile_width=”0″ css_animation=”alpha-anim” animation_delay=”400″ width=”1\/2″][vc_column_text]<\/p>\n

Subproject 2 (SP2)<\/h5>\n

We will address the field of ECoG electrocorticography,
\nusing signals obtained by intracranial electroencephalography.[\/vc_column_text][vc_button size=”btn-sm” radius=”btn-round” hover_fx=”outlined” outline=”yes” custom_typo=”yes” font_family=”font-555555″ font_weight=”700″ text_transform=”uppercase” letter_spacing=”fontspace-475804-1″ border_width=”0″ scale_mobile=”no” link=”url:https%3A%2F%2Faholab.ehu.eus%2Fressint%2Fressint%2Fsubproject-sp2%2F|title:M%C3%A1s%20informaci%C3%B3n”]More about SP2[\/vc_button][\/vc_column_inner][\/vc_row_inner][vc_empty_space empty_h=”2″][\/vc_column][\/vc_row][vc_row unlock_row_content=”yes” row_height_percent=”0″ override_padding=”yes” h_padding=”3″ top_padding=”0″ bottom_padding=”2″ overlay_alpha=”50″ equal_height=”yes” gutter_size=”3″ column_width_percent=”100″ shift_y=”0″ z_index=”0″ css=”.vc_custom_1609766998193{margin-top: 0px !important;margin-bottom: 0px !important;border-top-width: 0px !important;border-right-width: 0px !important;border-bottom-width: 0px !important;border-left-width: 0px !important;padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;}” el_class=”home-4″][vc_column column_width_percent=”100″ align_horizontal=”align_center” gutter_size=”2″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”0″ mobile_width=”0″ css_animation=”alpha-anim” animation_delay=”400″ width=”1\/1″][vc_custom_heading heading_semantic=”h4″ text_size=”h4″ text_height=”” css_animation=”curtain” el_class=”home-tit-2″]<\/p>\n

What speech disorders are going to be addressed?<\/p>\n

[\/vc_custom_heading][vc_row_inner limit_content=””][vc_column_inner column_width_percent=”100″ align_horizontal=”align_center” gutter_size=”2″ override_padding=”yes” column_padding=”0″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”0″ mobile_width=”0″ css_animation=”alpha-anim” animation_delay=”200″ width=”1\/2″][vc_single_image media=”84346″ media_width_use_pixel=”yes” alignment=”center” css_animation=”bottom-t-top” animation_delay=”500″ media_width_pixel=”110″][vc_column_text]<\/p>\n

Patients with total laryngectomy (SP1)<\/strong>, whose upper vocal tract (i.e. mouth, tongue, lips, etc.) is intact, but cannot speak normally because their entire larynx (an essential organ for sound production) has been removed surgically as a treatment for laryngeal cancer. These people still retain control over speech articulators, and therefore silent speech data reflecting articulator movements can be captured using EMG.<\/p>\n

[\/vc_column_text][vc_button size=”btn-sm” radius=”btn-round” hover_fx=”outlined” outline=”yes” custom_typo=”yes” font_family=”font-555555″ font_weight=”700″ text_transform=”uppercase” letter_spacing=”fontspace-475804-1″ border_width=”0″ scale_mobile=”no” link=”url:https%3A%2F%2Faholab.ehu.eus%2Fressint%2Fressint%2Fsubprojectsp1%2F|title:M%C3%A1s%20informaci%C3%B3n”]More about SP1[\/vc_button][\/vc_column_inner][vc_column_inner column_width_percent=”100″ align_horizontal=”align_center” gutter_size=”2″ override_padding=”yes” column_padding=”0″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”0″ mobile_width=”0″ css_animation=”alpha-anim” animation_delay=”400″ width=”1\/2″][vc_single_image media=”84347″ media_width_use_pixel=”yes” alignment=”center” css_animation=”bottom-t-top” animation_delay=”500″ media_width_pixel=”110″][vc_column_text]<\/p>\n

Neurodegenerative diseases and other traumatic injuries (SP2)<\/strong> that can leave an individual paralyzed and possibly unable to speak. For many of these people, their only means of communication is through limited eye movements and blinking; however, for those with total lockdown syndrome, even this type of communication may not be possible. An SSI-based communication system could provide them with a more effective and efficient way to communicate without the need for a caregiver to initiate a conversation or speak for them. Such technology could dramatically improve the lives of these people, and possibly its potential benefits would outweigh the risks of brain surgery to implant the ECoG electrodes.<\/p>\n

[\/vc_column_text][vc_button size=”btn-sm” radius=”btn-round” hover_fx=”outlined” outline=”yes” custom_typo=”yes” font_family=”font-555555″ font_weight=”700″ text_transform=”uppercase” letter_spacing=”fontspace-475804-1″ border_width=”0″ scale_mobile=”no” link=”url:https%3A%2F%2Faholab.ehu.eus%2Fressint%2Fressint%2Fsubproject-sp2%2F|title:M%C3%A1s%20informaci%C3%B3n”]More about SP2[\/vc_button][\/vc_column_inner][\/vc_row_inner][vc_empty_space empty_h=”2″][\/vc_column][\/vc_row][vc_row unlock_row_content=”yes” row_height_percent=”0″ override_padding=”yes” h_padding=”3″ top_padding=”0″ bottom_padding=”2″ overlay_alpha=”50″ equal_height=”yes” gutter_size=”3″ column_width_percent=”100″ shift_y=”0″ z_index=”0″ css=”.vc_custom_1609767006111{margin-top: 0px !important;margin-bottom: 0px !important;border-top-width: 0px !important;border-right-width: 0px !important;border-bottom-width: 0px !important;border-left-width: 0px !important;padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;}” el_class=”home-5″][vc_column column_width_percent=”100″ align_horizontal=”align_center” gutter_size=”2″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”0″ mobile_width=”0″ css_animation=”alpha-anim” animation_delay=”400″ width=”1\/1″][vc_custom_heading heading_semantic=”h4″ text_size=”h4″ text_height=”” css_animation=”curtain” el_class=”home-tit-2″]<\/p>\n

Who participates in this project?<\/p>\n

[\/vc_custom_heading][vc_column_text css=”.vc_custom_1608736391111{margin-bottom: 0px !important;border-bottom-width: 0px !important;padding-bottom: 0px !important;}”]ReSSint will be carried out by two research groups located in Spain with a strong collaboration of external researchers.
\nBoth groups will be supported by leading research groups in Europe.[\/vc_column_text][vc_empty_space empty_h=”1″][vc_row_inner limit_content=””][vc_column_inner column_width_percent=”100″ align_horizontal=”align_center” gutter_size=”2″ override_padding=”yes” column_padding=”0″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”0″ mobile_width=”0″ css_animation=”alpha-anim” animation_delay=”200″ width=”1\/2″][vc_single_image media=”84015″ media_width_use_pixel=”yes” alignment=”center” shape=”img-round” radius=”xl” shadow=”yes” shadow_weight=”sm” css_animation=”bottom-t-top” animation_delay=”500″ media_width_pixel=”150″][vc_column_text]The Aholab group<\/strong> of the University of the Basque Country<\/strong> (UPV\/EHU) that has already demonstrated its experience in the field of signal processing and speech synthesis[\/vc_column_text][vc_button size=”btn-sm” radius=”btn-round” hover_fx=”outlined” outline=”yes” custom_typo=”yes” font_family=”font-555555″ font_weight=”700″ text_transform=”uppercase” letter_spacing=”fontspace-475804-1″ border_width=”0″ scale_mobile=”no” link=”url:https%3A%2F%2Faholab.ehu.eus%2Fressint%2Fconsortium%2Fbeneficiaries%2Fupv-ehu%2F|title:M%C3%A1s%20informaci%C3%B3n”]More information[\/vc_button][\/vc_column_inner][vc_column_inner column_width_percent=”100″ align_horizontal=”align_center” gutter_size=”2″ override_padding=”yes” column_padding=”0″ overlay_alpha=”50″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ medium_width=”0″ mobile_width=”0″ css_animation=”alpha-anim” animation_delay=”400″ width=”1\/2″][vc_single_image media=”84014″ media_width_use_pixel=”yes” alignment=”center” shape=”img-round” radius=”xl” shadow=”yes” shadow_weight=”sm” css_animation=”bottom-t-top” animation_delay=”500″ media_width_pixel=”150″][vc_column_text]The group from the University of Granada<\/strong> that is led by a young researcher with a consolidated research experience in the field of silent voice interfaces.[\/vc_column_text][vc_button size=”btn-sm” radius=”btn-round” hover_fx=”outlined” outline=”yes” custom_typo=”yes” font_family=”font-555555″ font_weight=”700″ text_transform=”uppercase” letter_spacing=”fontspace-475804-1″ border_width=”0″ scale_mobile=”no” link=”url:https%3A%2F%2Faholab.ehu.eus%2Fressint%2Fconsortium%2Fbeneficiaries%2Funiversity-of-granada%2F|title:M%C3%A1s%20informaci%C3%B3n”]More information[\/vc_button][\/vc_column_inner][\/vc_row_inner][vc_empty_space empty_h=”2″][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

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