{"id":2221,"date":"2025-02-26T06:02:58","date_gmt":"2025-02-26T06:02:58","guid":{"rendered":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/?page_id=2221"},"modified":"2025-05-06T15:18:59","modified_gmt":"2025-05-06T15:18:59","slug":"automatic-speech-recognition","status":"publish","type":"page","link":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/embodied-ai\/language-interaction-group\/automatic-speech-recognition\/","title":{"rendered":"Automatic Speech Recognition"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"2221\" class=\"elementor elementor-2221\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7404600 inner-hero mr-0 width-ih e-flex e-con-boxed e-con e-parent\" data-id=\"7404600\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cab3063 font-48 elementor-widget elementor-widget-heading\" data-id=\"cab3063\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Automatic Speech Recognition<\/h1>\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-be77a86 bd-row home mr-0 e-flex e-con-boxed e-con e-parent\" data-id=\"be77a86\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fc0a260 elementor-icon-list--layout-inline elementor-align-start bd-nav elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"fc0a260\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items elementor-inline-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"16\" height=\"15\" viewBox=\"0 0 16 15\" fill=\"none\"><path d=\"M15.1962 7.48458C15.1962 7.99073 14.8211 8.38722 14.396 8.38722H13.5958L13.6133 12.892C13.6133 12.9679 13.6083 13.0438 13.6008 13.1197V13.5753C13.6008 14.1967 13.1532 14.7 12.6005 14.7H12.2004C12.1729 14.7 12.1454 14.7 12.1179 14.6972C12.0829 14.7 12.0479 14.7 12.0129 14.7L11.2002 14.6972H10.6C10.0474 14.6972 9.59976 14.1939 9.59976 13.5725V11.0979C9.59976 10.6002 9.24217 10.1981 8.79956 10.1981H7.19914C6.75653 10.1981 6.39894 10.6002 6.39894 11.0979V13.5725C6.39894 14.1939 5.95132 14.6972 5.39868 14.6972H4.00082C3.96331 14.6972 3.9258 14.6944 3.88829 14.6916C3.85828 14.6944 3.82827 14.6972 3.79826 14.6972H3.39816C2.84552 14.6972 2.3979 14.1939 2.3979 13.5725V10.4231C2.3979 10.3978 2.3979 10.3696 2.4004 10.3443V8.38441H1.60019C1.15008 8.38441 0.799988 7.99073 0.799988 7.48177C0.799988 7.2287 0.875007 7.00374 1.05005 6.8069L7.45921 0.525005C7.63425 0.328168 7.83431 0.300049 8.00935 0.300049C8.1844 0.300049 8.38445 0.356288 8.53449 0.496885L14.9211 6.80971C15.1212 7.00655 15.2212 7.23151 15.1962 7.48458Z\" fill=\"#007BFF\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Home<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\">\n\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">CRL<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/embodied-ai\/\">\n\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Embodied AI<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/embodied-ai\/language-interaction-group\/\">\n\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\"> Language &amp; Interaction<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Automatic Speech Recognition<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\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-4146d1a asr-intro pt-74 pb-73 container-1746 e-flex e-con-boxed e-con e-parent\" data-id=\"4146d1a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b0f14e5 font-20 elementor-widget elementor-widget-text-editor\" data-id=\"b0f14e5\" data-element_type=\"widget\" data-e-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\t\t<p>Automatic transcription of speech to text plays a critical role in the human-machine interaction. Background noise, reverberation, competing speakers and natural speech variability across speakers make the task challenging. Toshiba aims to improve the state-of-the-art in automatic speech recognition by combining signal processing and machine learning approaches. Our research focuses on both front-end enhancement and back-end acoustic modelling. Some of recent interests include: improving ASR in multiple speaker setting, advancing state-of-the-art and reducing latency for end-to-end ASR using Transformer and Transducer architectures and model adaptation).<\/p>\t\t\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-7e04866 sig-en pt-75 pb-82 container-1746 e-flex e-con-boxed e-con e-parent\" data-id=\"7e04866\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-b084fef e-con-full col-left pr-46 e-flex e-con e-child\" data-id=\"b084fef\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-45a6b51 font-52 mt-10n elementor-widget elementor-widget-heading\" data-id=\"45a6b51\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Signal Enhancement<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7123710 font-16 pt-16 elementor-widget elementor-widget-text-editor\" data-id=\"7123710\" data-element_type=\"widget\" data-e-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\t\t<p>Single\/multichannel speech enhancement is employed to increase ASR robustness in noisy, reverberant and multi-talker environments. We develop advanced denoising, source separation and speaker diarization techniques for improving recognition accuracy in challenging acoustic conditions.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5ca10ad e-con-full col-right e-flex e-con e-child\" data-id=\"5ca10ad\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b6dd9b3 figure-img elementor-widget elementor-widget-image\" data-id=\"b6dd9b3\" data-element_type=\"widget\" data-e-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 fetchpriority=\"high\" decoding=\"async\" width=\"580\" height=\"206\" src=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/signal-enhancement-img.png\" class=\"attachment-full size-full wp-image-2235\" alt=\"Signal Enhancement\" srcset=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/signal-enhancement-img.png 580w, https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/signal-enhancement-img-300x107.png 300w\" sizes=\"(max-width: 580px) 100vw, 580px\" \/>\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>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0b10d7d nlu pt-69 pb-69 container-1746 e-flex e-con-boxed e-con e-parent\" data-id=\"0b10d7d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-8adc7b7 e-con-full col-right e-flex e-con e-child\" data-id=\"8adc7b7\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-575d85a figure-img img-multply elementor-widget elementor-widget-image\" data-id=\"575d85a\" data-element_type=\"widget\" data-e-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=\"580\" height=\"281\" src=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/end-to-end-asr-img.png\" class=\"attachment-full size-full wp-image-2251\" alt=\"End-to-end streaming ASR\" srcset=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/end-to-end-asr-img.png 580w, https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/end-to-end-asr-img-300x145.png 300w\" sizes=\"(max-width: 580px) 100vw, 580px\" \/>\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>\n\t\t<div class=\"elementor-element elementor-element-ac536ee e-con-full col-left pl-46 e-flex e-con e-child\" data-id=\"ac536ee\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-abad14a font-52 ml-19n wd-521 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"abad14a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">End-to-end streaming ASR<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3403426 font-16 pt-16 elementor-widget elementor-widget-text-editor\" data-id=\"3403426\" data-element_type=\"widget\" data-e-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\t\t<p>End-to-end ASR models which directly map the input to the output greatly simplify the traditional ASR pipeline which includes an acoustic model, a lexicon and a language model. Our work is to improve end-to-end ASR systems, which includes reducing the computation cost of the model, making the system more suitable for online streaming ASR, or integrating the end-to-end ASR system with various signal enhancement front-end components.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\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-96b164f adap-asr pt-75 pb-82 container-1746 e-flex e-con-boxed e-con e-parent\" data-id=\"96b164f\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-2154d20 e-con-full content-row e-flex e-con e-child\" data-id=\"2154d20\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-4038d72 e-con-full col-left pl-46 e-flex e-con e-child\" data-id=\"4038d72\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2363791 font-52 ml-10n wd-521 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"2363791\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Adaptation of end-to-end ASR<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5da1087 font-16 pt-16 elementor-widget elementor-widget-text-editor\" data-id=\"5da1087\" data-element_type=\"widget\" data-e-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\t\t<p>Mismatch between training and test scenarios is common when using ASR system in realistic conditions. Among other robustness methods, adaptation algorithms developed for ASR aim at alleviating this mismatch. Adapting large and complex models, especially deep neural network (DNN)-based models, is challenging with typically a small amount of adaptation (target) data and without explicit supervision. Adaptation methods close the gap in mismatch between training and test and thus try to improve the model performance to unseen settings or environments.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3be0991 e-con-full col-right e-flex e-con e-child\" data-id=\"3be0991\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ebc90be figure-img elementor-widget elementor-widget-image\" data-id=\"ebc90be\" data-element_type=\"widget\" data-e-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=\"580\" height=\"344\" src=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/asr-adaption-end-img.jpg\" class=\"attachment-full size-full wp-image-2310\" alt=\"Adaptation of end-to-end ASR\" srcset=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/asr-adaption-end-img.jpg 580w, https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/asr-adaption-end-img-300x178.jpg 300w\" sizes=\"(max-width: 580px) 100vw, 580px\" \/>\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>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4ecbce6 e-con-full button-row pt-43 e-flex e-con e-child\" data-id=\"4ecbce6\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8726cf2 elementor-align-left btn-bb-red elementor-widget elementor-widget-button\" data-id=\"8726cf2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/embodied-ai\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"53\" height=\"8\" viewBox=\"0 0 53 8\" fill=\"none\"><path d=\"M52.3536 4.35355C52.5488 4.15829 52.5488 3.84171 52.3536 3.64645L49.1716 0.464466C48.9763 0.269204 48.6597 0.269204 48.4645 0.464466C48.2692 0.659728 48.2692 0.976311 48.4645 1.17157L51.2929 4L48.4645 6.82843C48.2692 7.02369 48.2692 7.34027 48.4645 7.53553C48.6597 7.7308 48.9763 7.7308 49.1716 7.53553L52.3536 4.35355ZM0 4.5H52V3.5H0V4.5Z\" fill=\"transparent\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">back to Embodied AI<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\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-a002687 e-con-full e-flex e-con e-parent\" data-id=\"a002687\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5764bf7 elementor-widget elementor-widget-template\" data-id=\"5764bf7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"template.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-template\">\n\t\t\t\t\t<div data-elementor-type=\"section\" data-elementor-id=\"6952\" class=\"elementor elementor-6952\" data-elementor-post-type=\"elementor_library\">\n\t\t\t<div class=\"elementor-element elementor-element-b11637a latest-pub-qig pt-83 pb-47 container-1746 e-flex e-con-boxed e-con e-parent\" data-id=\"b11637a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-35ccd75 e-con-full col-left pr-112 e-flex e-con e-child\" data-id=\"35ccd75\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5cfee9b crl-dual-head pb-26 font-62 elementor-widget elementor-widget-exad-exclusive-dual-heading\" data-id=\"5cfee9b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"exad-exclusive-dual-heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\r\n        <div class=\"exad-dual-heading\">\r\n            <div class=\"exad-dual-heading-wrapper\">\r\n            \r\n                <h2 class=\"exad-dual-heading-title\">\r\n                                    <span class=\"first-heading\">Language &amp; Interaction Group<\/span>\r\n                    <span class=\"second-heading\">Latest Publications<\/span>\r\n                                    <\/h2>\r\n\r\n                                    <p class=\"exad-dual-heading-description\">Information contained in news and other announcements is current on the date of posting, but subject to change without notice.<\/p>\r\n                  \r\n\r\n            <\/div>\r\n        <\/div>\r\n        \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ad8e818 elementor-align-left btn-bb-red lp-btn elementor-widget elementor-widget-button\" data-id=\"ad8e818\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"\/cambridge-research-laboratory\/publications_category\/speech-technology-group\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"53\" height=\"8\" viewBox=\"0 0 53 8\" fill=\"none\"><path d=\"M52.3536 4.35355C52.5488 4.15829 52.5488 3.84171 52.3536 3.64645L49.1716 0.464466C48.9763 0.269204 48.6597 0.269204 48.4645 0.464466C48.2692 0.659728 48.2692 0.976311 48.4645 1.17157L51.2929 4L48.4645 6.82843C48.2692 7.02369 48.2692 7.34027 48.4645 7.53553C48.6597 7.7308 48.9763 7.7308 49.1716 7.53553L52.3536 4.35355ZM0 4.5H52V3.5H0V4.5Z\" fill=\"transparent\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">See What's New<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-90c2aac e-con-full col-right e-flex e-con e-child\" data-id=\"90c2aac\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b3fe631 elementor-grid-1 pp-equal-height-yes lp-post elementor-widget__width-inherit elementor-grid-tablet-1 elementor-grid-mobile-1 elementor-widget elementor-widget-pp-posts\" data-id=\"b3fe631\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"pp-posts.template\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<div class=\"pp-posts-container\">\n\t\t\t\t\t<div class=\"pp-posts-empty\">\n\t\t\t\t\t\t\t<p>It seems we can&#039;t find what you&#039;re looking for.<\/p>\n\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\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\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ef14d92 e-con-full e-flex e-con e-parent\" data-id=\"ef14d92\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b468455 elementor-widget elementor-widget-template\" data-id=\"b468455\" data-element_type=\"widget\" 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elementor-widget-heading\" data-id=\"1ddc4d7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Contact Us<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c2782e9 elementor-align-left btn-txt-white elementor-widget elementor-widget-button\" data-id=\"c2782e9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/contact-us\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg 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href=\"https:\/\/careers.toshiba.eu\/Home\/Job?lstRegion=1&#038;lstdepartment=12&#038;chkCategory=15\" rel=\"noopener\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"53\" height=\"8\" viewBox=\"0 0 53 8\" fill=\"none\"><path d=\"M52.3536 4.35355C52.5488 4.15829 52.5488 3.84171 52.3536 3.64645L49.1716 0.464466C48.9763 0.269204 48.6597 0.269204 48.4645 0.464466C48.2692 0.659728 48.2692 0.976311 48.4645 1.17157L51.2929 4L48.4645 6.82843C48.2692 7.02369 48.2692 7.34027 48.4645 7.53553C48.6597 7.7308 48.9763 7.7308 49.1716 7.53553L52.3536 4.35355ZM0 4.5H52V3.5H0V4.5Z\" fill=\"transparent\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn 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e-con-boxed e-con e-parent\" data-id=\"e4f4860\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-903217a e-con-full out-card e-flex e-con e-child\" data-id=\"903217a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-78f6ea1 e-con-full card-content e-flex e-con e-child\" data-id=\"78f6ea1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3e3121a font-26 elementor-widget elementor-widget-heading\" data-id=\"3e3121a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Newsroom<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c407530 elementor-align-left btn-txt-white elementor-widget elementor-widget-button\" data-id=\"c407530\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"\/cambridge-research-laboratory\/news\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"53\" height=\"8\" viewBox=\"0 0 53 8\" fill=\"none\"><path d=\"M52.3536 4.35355C52.5488 4.15829 52.5488 3.84171 52.3536 3.64645L49.1716 0.464466C48.9763 0.269204 48.6597 0.269204 48.4645 0.464466C48.2692 0.659728 48.2692 0.976311 48.4645 1.17157L51.2929 4L48.4645 6.82843C48.2692 7.02369 48.2692 7.34027 48.4645 7.53553C48.6597 7.7308 48.9763 7.7308 49.1716 7.53553L52.3536 4.35355ZM0 4.5H52V3.5H0V4.5Z\" fill=\"transparent\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn More<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9ef5d6c e-con-full out-card e-flex e-con e-child\" data-id=\"9ef5d6c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-692e946 e-con-full card-content e-flex e-con e-child\" data-id=\"692e946\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ff12981 font-26 elementor-widget elementor-widget-heading\" data-id=\"ff12981\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Global R &amp; D<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9bd39c1 elementor-align-left btn-txt-white elementor-widget elementor-widget-button\" data-id=\"9bd39c1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.global.toshiba\/ww\/technology\/corporate\/rdc.html\" rel=\"noopener\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"53\" height=\"8\" viewBox=\"0 0 53 8\" fill=\"none\"><path d=\"M52.3536 4.35355C52.5488 4.15829 52.5488 3.84171 52.3536 3.64645L49.1716 0.464466C48.9763 0.269204 48.6597 0.269204 48.4645 0.464466C48.2692 0.659728 48.2692 0.976311 48.4645 1.17157L51.2929 4L48.4645 6.82843C48.2692 7.02369 48.2692 7.34027 48.4645 7.53553C48.6597 7.7308 48.9763 7.7308 49.1716 7.53553L52.3536 4.35355ZM0 4.5H52V3.5H0V4.5Z\" fill=\"transparent\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn More<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\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\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Automatic Speech Recognition Home CRL Embodied AI Language &amp; Interaction Automatic Speech Recognition Automatic transcription of speech to text plays [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1619,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-2221","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/pages\/2221","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/comments?post=2221"}],"version-history":[{"count":153,"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/pages\/2221\/revisions"}],"predecessor-version":[{"id":7514,"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/pages\/2221\/revisions\/7514"}],"up":[{"embeddable":true,"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/pages\/1619"}],"wp:attachment":[{"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/media?parent=2221"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}