{"id":1038,"date":"2014-09-12T14:10:21","date_gmt":"2014-09-12T18:10:21","guid":{"rendered":"http:\/\/blogs.inquirium.net\/inqscribe\/?p=1038"},"modified":"2014-09-12T14:10:21","modified_gmt":"2014-09-12T18:10:21","slug":"creating-a-transcript-with-inqscribe-and-dragon-naturallyspeaking","status":"publish","type":"post","link":"https:\/\/blogs.inquirium.net\/inqscribe\/2014\/09\/12\/creating-a-transcript-with-inqscribe-and-dragon-naturallyspeaking\/","title":{"rendered":"Creating a Transcript with InqScribe and Dragon NaturallySpeaking"},"content":{"rendered":"

Update: In addition to using Dragon as described below, you can now use Apple’s Dictation feature with the InqScribe 2.5 Beta<\/a>. More information\u00a0here<\/a> (sorry, macOS only!).<\/em><\/p>\n

—<\/p>\n

When we\u2019re asked about speech recognition software, it\u2019s often from new users hoping to automate their transcription process. Although InqScribe doesn\u2019t include any speech recognition technology<\/a>, you can easily use InqScribe in conjunction with other speech-to-text software.<\/p>\n

Dragon NaturallySpeaking<\/a> is the most popular speech recognition product on the market. \u201cDragon\u201d has been around for over 17 years, with version 13.0 recently released for PC by Nuance Communications. For Mac users, there\u2019s also an OS X edition called Dragon Dictate<\/a>. In this article however, we\u2019ll be looking at Dragon NaturallySpeaking 12 Home Edition.<\/p>\n

As you might guess, Dragon essentially converts your voice into text, also allowing for command triggers such as \u201cOpen My Documents\u201d and \u201cDelete Line.\u201d Although true transcription automation<\/em> isn\u2019t quite there yet, you can use Dragon effectively with your own voice.<\/p>\n

Automatic Transcription<\/strong><\/p>\n

Wouldn\u2019t it be great if a program could listen to audio and create an exact text of the recording? Well, in reality it\u2019s a little more complicated. Before digging into Dragon, it’s worth laying out some of the difficulties of automatic transcription:<\/p>\n

    \n
  1. Computers have a hard time distinguishing a single voice from the noise and general messiness of most recordings. There are often ambient sounds or background chatter in even the most pure recordings.<\/li>\n
  2. It\u2019s difficult for speech recognition programs to remain accurate moving from speaker-to-speaker. Everyone’s voice sounds a little different, so programs like Dragon work best by training with and focusing on one voice.<\/li>\n
  3. Even in ideal conditions, speech recognition isn’t perfect. It’s never going to be 100% accurate because it mishears you or maybe it just doesn’t understand a\u00a0colloquial word. A lot of what we “hear” from language comes from context and nuances in our speech and body language. Speech recognition technology just isn’t advanced enough to pick up on such complex information.<\/li>\n<\/ol>\n

    So, if you’re still interested in trying out automation, the Pro and Legal Editions of Dragon 12 support speech-to-text conversation from audio recordings (click here for a PDF comparison of these editions<\/a>). This feature is intended to work only with your own, trained voice due to the limitations explained above. However, there’s nothing stopping you from trying out the voice recognition on multiple speakers.<\/p>\n

    One possible transcription method is to run an initial pass with Dragon, and then use InqScribe to follow along and edit its mistakes. I’ll note that we haven’t tested this method, and I imagine the results will vary widely from recording to recording. Check out\u00a0this video<\/a> on how to transcribe from an audio recording with Dragon 12 Pro.<\/p>\n

    Parroting a transcript<\/strong><\/p>\n

    The most reliable method recommended by InqScribe users is to \u201cparrot\u201d<\/strong> your audio source. This entails listening to your media file and repeating everything you\u2019d like to transcribe out loud into Dragon. Parroting is not automatic, but to some it\u2019s a welcome alternative to the keyboard gymnastics of traditional transcription. Here are the steps:<\/p>\n

      \n
    1. Launch Dragon NaturallySpeaking<\/li>\n
    2. Open up a new InqScribe document<\/a><\/li>\n
    3. Load your audio or video file by navigating to\u00a0Select Media Source>Select File<\/a><\/li>\n
    4. Press play (feel free to adjust the play speed<\/a> to suite your pace)<\/li>\n
    5. Listen to and repeat out load everything you’d like Dragon to write into your InqScribe transcript<\/li>\n
    6. Once your finished transcribing, make sure to review the text for errors<\/li>\n<\/ol>\n

      I found myself using voice recognition to get down the general text of the transcript while controlling media playback<\/a> and\u00a0timecodes<\/a>\u00a0using InqScribe’s keyboard shortcuts<\/a> and my mouse. This frees your hands to focus on media manipulation. It\u2019s also nice to have the precision of keyboard shortcuts for inserting timecodes.<\/p>\n

      \"Dragon<\/a>
      InqScribe and Dragon in action<\/figcaption><\/figure>\n

      How well does parroting work?<\/strong><\/p>\n

      As a speech recognition software, Dragon does a pretty good job of understanding your voice. It will even improve the more you use it. There is a bit of a learning curve, which mostly comes from training yourself to be effective with voice commands and corrections.<\/p>\n

      You\u2019ll have to learn to regularly check Dragon for mistakes because, as hard as it tries, it\u2019s never going to be 100% accurate. Honestly, many of the errors I encountered felt like my own fault- from stuttering or not clearly annunciating \u00a0my words. As any transcriptionist knows, language is a messy thing. This means you\u2019ll have to watch Dragon\u2019s work for errors, which can disrupt your workflow. Even after your dictation, you\u2019ll want to budget some time to make sure homophones like \u201cexample\u201d don\u2019t wind up as \u201cegg sample.\u201d<\/p>\n

      Factoring in these corrections, I found parroting with Dragon to be slower than manually typing the transcript. This will certainly depend on your typing speed and how proficient you are with Dragon\u2019s voice interface.<\/p>\n

      Be aware that prolonged sessions will leave your voice tired. This might seem obvious, but you\u2019ll get physically fatigued much faster than by typing normally. For this reason, I don\u2019t think I would recommend Dragon to knock out wordy transcripts. I know my voice tires easily, so if you\u2019re used to talking all day, it might be less of an issue for you (hello teachers).<\/p>\n

      Overall, I\u2019m not sure that I would recommend Dragon to someone who has no issue manually typing a transcript. It just doesn\u2019t offer a clear advantage. If, however, you\u2019re plagued by slow typing, mental blocks, physical impairments, or just love the sound of your own voice, then Dragon can be a great tool. Just be willing to make it through a high learning curve before you can really start plowing through transcripts.<\/p>\n","protected":false},"excerpt":{"rendered":"Update: In addition to using Dragon as described below, you can now use Apple’s Dictation feature with the…\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[5,11,12,13],"tags":[59,60,70,109,167,193],"_links":{"self":[{"href":"https:\/\/blogs.inquirium.net\/inqscribe\/wp-json\/wp\/v2\/posts\/1038"}],"collection":[{"href":"https:\/\/blogs.inquirium.net\/inqscribe\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.inquirium.net\/inqscribe\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.inquirium.net\/inqscribe\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.inquirium.net\/inqscribe\/wp-json\/wp\/v2\/comments?post=1038"}],"version-history":[{"count":0,"href":"https:\/\/blogs.inquirium.net\/inqscribe\/wp-json\/wp\/v2\/posts\/1038\/revisions"}],"wp:attachment":[{"href":"https:\/\/blogs.inquirium.net\/inqscribe\/wp-json\/wp\/v2\/media?parent=1038"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.inquirium.net\/inqscribe\/wp-json\/wp\/v2\/categories?post=1038"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.inquirium.net\/inqscribe\/wp-json\/wp\/v2\/tags?post=1038"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}