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Posts Tagged ‘speech-recognition’

Watch how to start voice training of Windows speech recognition–the ultimate training…

…using animated GIFs. Slower? Click 0.50sec, 0.50sec, 0.75sec, 1sec, 2sec, 3sec, 4sec, 5sec, 6sec, 7sec, 8sec, 9sec, 10sec.

Common commands in Speech Recognition for all languages supported

(I cut a corner and left out the language variants ZH-TW and EN-UK, sorry, we do not teach those here):

Faculty Workshop Spring 2014: "Mira, mamá! Sin manos!". Practice speaking L2 with automatic intelligent feedback by operating LRC PCs through speech recognition instead of keyboard/mouse

  1. When: March 28, 2:15-3:15, April 4, 2:00-3:00
  2. Where: LRCRoomCoed434
  3. What: Language learning speaking practice assignments with automatic intelligent feedback using Windows Speech Recognition
    1. As part of the foreign language tools we installed with Windows 7 this past Fall, we got speech recognition on the LRC PCs for 6 languages (English, Chinese, French, German, Japanese, Spanish ) representing over 85% of our enrolment.
    2. Unlike the speech recognition that comes with learning content packages like Auralog or Rosetta Stone
      1. which had to be purchased, for individual languages, but stopped functioning on the server on a long time ago,
      2. was limited to built-in content ,
      3. was restricted by a separate account system,
    3. Windows Speech Recognition is
      1. free (with the operating system), runs on the local lab pcs, and should be a bit more robust,
      2. content agnostic and hence can integrate flexibly with your curriculum and contribute meaningfully to your students’ progression,
      3. can be integrated with the existing user accounts.
    4. We combine Windows speech recognition with the new LRC screencast software, MS-Office and Moodle to offer a simple self-access assignment type that
      1. is available on all 45 LRC PCs (= scales even to large enrolment languages and 1st-year classes that cannot use the 24-seat Sanako for face-to-face speaking proficiency training)
      2. and blends the “artificial intelligence” of speech recognition with human intelligence to provide students with immediate automated feedback during pedagogically sound speaking practice, with minimal grading overhead for the teacher (= grade secure assignments by looking at the very end of a student-submitted screencast).
    5. This workshop will show actual speech recognition usage and assignment samples
      1. so far in English, French, German;
      2. if you want to bring your own samples to this workshop – there might still be time- , or to an upcoming faculty showcase, I can help you during my biweekly LRC clinics (see LRC main schedule, or schedule your own).
    6. We will step you through – hands-on, including tips&tricks – a sample voice training and assignment completion: Better than my made-up assignments would be if you could bring one or more concrete tasks to be solved using speech recognition that we could prepare assigning to your students. Here are some parameters for that:
      1. Speech recognition can replace mouse and keyboard when operating the computer. Voice commands are simpler than sentences, so this could be a beginner task, as long as you have students study the (limited) command vocabulary (which I will make available during the workshop).
      2. Speech recognition can replace any writing task with dictation. Suggestions for proficiency levels:
        1. I have dictated a web page assigned for reading comprehension in a textbook used in 1200 or even a as a false beginner.
        2. However, a one-time training helping the computer recognize an individual’s voice is required and comes sentences that vary in complexity between languages
          1. English: very easy, Beginner level;
          2. German, French: let’s have a look together, I’d say 1202 level;
          3. Japanese: 3000 level, I was told;
          4. Please test with me during the workshop: Spanish, Chinese.
  4. Download the SlideDeck (too big too embed)

How to resolve error “Speech Recognition could not start because the language configuration is not supported”

  1. Problem: I have seen this error CAM05472,
  2. Root cause: when the display language and speech language do not match (the latter is set to default to the former in the LRC, but it seems they can get out of sync), as you can witness here (English display does not match Chinese speech recognition): CAM05474
  3. Solution: Follow the instructions in the error message, i.e.
    1. Access the Speech recognition control panel here: image
    2. Then change the speech recognition language to match the display language, like I am doing here: CAM05475
  4. Quick workaround: Not sure about how quick, but in the LRC, you can also just try and restart the computers, they are “frozen” to a default configuration in display and speech recognition language (English/English – matches).

Watch how you can train Windows speech-recognition (e.g. in English)

Watch how you can backup and restore your Windows speech-recognition training data

Example 5: Watch how you can dictate to Windows speech-recognition (e.g. in English) and correct results in MS-Word

  1. Important: Listen carefully: I am not a native speaker, but have a reasonably low amount of errors, because it enunciate, speak clearly and slowly, and separate the words.
  2. Consider it part of the exercise that you will have to re-read and re-type some your output – use track changes in MS-Word:
    1. Make it a game: How good can you get?
    2. If you get really good at it, make a screencast like this one and include it in your Mahara ePortfolio  as authentic evidence of your foreign language proficiency.
  3. Overall, it’s like how I refer to cycling: Beats walking. Anytime. Smiley

Overview over speech recognition assignment possibilities in the LRC–from beginning to end

2014/01/21 1 comment
  1. UPDATE: now with more videos to watch.
  2. First switch languages, once you are in the right language:
  3. The speech recognition loads at startup with this window:
    image
  4. or can be started from the desktop shortcut:
    image
  5. To activate = make it start/stop listening, click on the microphone image
  6. create and save individualized voice training data (only the first time you use speech recognition in the LRC),
    1. Watch how to train (for English, short 5 minutes);
    2. Watch how to back up/restore;
    3. beginner voice training example (long, before/after effect in speech recognition),
  7. homework assignment exercise design,
    1. Watch how (for English, with correction in MS-Word)
    2. dictation example.