{"id":4689,"date":"2020-12-22T20:57:22","date_gmt":"2020-12-22T20:57:22","guid":{"rendered":"https:\/\/oldsite.chha.ca\/?p=4689"},"modified":"2020-12-22T20:58:18","modified_gmt":"2020-12-22T20:58:18","slug":"increasing-accuracy-of-auto-captions-for-virtual-meetings","status":"publish","type":"post","link":"https:\/\/oldsite.chha.ca\/fr\/increasing-accuracy-of-auto-captions-for-virtual-meetings\/","title":{"rendered":"Increasing Accuracy of Auto-Captions for Virtual Meetings"},"content":{"rendered":"

D\u00e9sol\u00e9, cet article est seulement disponible en Anglais Am\u00e9ricain<\/a>. Pour le confort de l\u2019utilisateur, le contenu est affich\u00e9 ci-dessous dans une autre langue. Vous pouvez cliquer le lien pour changer de langue active.<\/p>by Sheila Serup, MBA<\/em><\/p>\n

CHHA-Calgary<\/em><\/p>\n

With the increasing use of virtual meetings, live auto-captioning enables accessibility for participants with hearing loss.<\/p>\n

However, there are still challenges to seeing the correct captions being displayed on video-conference platforms.<\/p>\n

To better understand why errors occur in translating speech to auto-captions, I turned to an expert in the field of Linguistics.<\/p>\n

Dr. Ben Tucker, with the University of Alberta\u2019s Linguistics department, observes that speech recognition technology still struggles with transcribing voices to text.<\/p>\n

\u201cWhen the input voice is highly accented, the system will have a hard time. It also struggles with background noise.\u201d<\/p>\n

He notes that \u201cco-articulation is possibly part of the problem but is likely only a very small part as most modern speech recognition systems have been trained to deal with it.\u201d<\/p>\n

Co-articulation, as defined by the Cambridge dictionary, occurs when the pronunciation of a sound in a word is affected by the sounds before and after it. (For example, the words \u201ccan\u201d and \u201cham\u201d contain the vowel \u2018a\u2019 and nasal consonants \/n\/ and\/m\/ which are produced at the back of the throat, and are therefore harder to hear.)<\/p>\n

\u201cThere are lots of other factors that will play a role as well, and there are simple solutions such as getting a microphone close to the speaker\u2019s mouth and reducing background noise,\u201d Dr. Tucker says.<\/p>\n

He recommends using headphones to reduces noise coming from the environment and looking directly into the camera when talking. Any documents or prompts being referred to onscreen should be situated near the camera, so the person speaking is looking into the camera.<\/p>\n

\u201cUsers can slow it down to help listeners,\u201d notes Dr. Tucker. \u201cReading lips and reading captions – the task is very difficult as the user is multitasking.\u201d<\/p>\n

Dr. Tucker, who is also a Mercator Fellow in Quantitative Linguistics at the German University of T\u00fcbingen, notes there is speaker-dependent software such as Dragon Naturally Speaking.<\/p>\n

\u201cThese are trained to work on your voice.\u201d Once familiar with a speaker\u2019s voice, it will transcribe that speaker\u2019s speech to captions.<\/p>\n

\u201cThe problem is that it will only work for your voice.\u201d It will create accurate captions for other participants of your speech.<\/p>\n

Otter.ai is a transcription service that integrates with Zoom to provide transcripts during and after the meeting.<\/p>\n

Before joining a video call, Dr. Tucker suggests spending a few minutes adjusting your position and equipment for an optimal presentation. Practising with headphones and microphones also enhance everyone\u2019s audio-visual experience.<\/p>\n

Small tips such as these will increase the accuracy of speech-independent auto-captioning in video conference meetings. As current trends indicate, virtual meetings are becoming the norm for all of us.","protected":false},"excerpt":{"rendered":"

\nD\u00e9sol\u00e9, cet article est seulement disponible en Anglais Am\u00e9ricain. Pour le confort de l\u2019utilisateur, le contenu est affich\u00e9…\n<\/div>\n
Continue reading “Increasing Accuracy of Auto-Captions for Virtual Meetings”<\/span>…<\/a><\/div>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[122],"tags":[],"yoast_head":"\n<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[:en]Increasing Accuracy of Auto-Captions for Virtual Meetings[:] - Canadian Hard of Hearing Association\" \/>\n<meta property=\"og:description\" content=\"D\u00e9sol\u00e9, cet article est seulement disponible en Anglais Am\u00e9ricain. 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