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Ryan Tate • Introducing Typingpool, My Software for Easy Audio ...
www.typingpool.org/
Introducing Typingpool, My Software for Easy Audio Transcription Today I’m releasing Typingpool, software that makes audio transcriptions easier and ...

Typingpool.org

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  • Name:
    Content: Today I’m releasing Typingpool, software that makes audio transcriptions easier and cheaper. Typingpool chops your audio into small bits and routes them to the labor marketplace Mechanical Turk, where workers transcribe the bits in parallel. This produces transcripts much faster than any lone transcriber for as little one-eighth what you pay a transcription service. Better still, workers keep 91 percent of the money you spend. At the end of the process you have an interactive transcript that can be opened in your web browser, with audio embedded every paragraph or so. Having audio right next to the corresponding text greatly eases double-checking and correction. No conventional transcript is this interactive or easy to fact check. You use Typingpool through a series of command-line programs, distributed as a Ruby gem. For the non-geek, Typingpool can be a pain to install, and if you’ve never used command-line programs it will take extra effort to learn. But if you create many transcripts Typingpool can save you a great deal of time and money. And while you have to pay the workers who handle your audio on Mechanical Turk, Typingpool is completely free. Typingpool runs on Mac OS X and Linux. Background Typingpool builds on techniques outlined by Andy Baio in a popular 2008 blog post, which showed how audio could be divided and uploaded to Mechanical Turk for “cheap, easy audio transcription.” I used Andy’s techniques to quickly transcribe hours and hours of interviews conducted for my book on side projects, The 20% Doctrine. (Thanks to my editor Debbie Stier for pointing me at Mechanical Turk!) Unlike the process in Andy’s post, the process I settled on is highly automated. Andy’s process works great for occasional transcription jobs, whereas mine is designed for people who frequently need to make transcripts. Instead of manually editing my audio, laboriously creating Excel spreadsheets, and copy/pasting text into a transcript as Andy did, I outsourced these tasks to software. Instead of clicking around on the Mechanical Turk website, I sent it jobs automatically, through the API. To automate, I ended up writing a whole library of Ruby code, after simpler approaches failed. This code became Typingpool. I’ve been using and developing it since Feb. 2011. How it works Here’s the high level view: You point Typingpool at some audio files. Typingpool converts the files to mp3 format, merges them together, and chops them into 1-minute chunks (adjustable). Then you tell Typingpool how much you want to pay to transcribe each chunk and which template you want to use to create worker assignments (several templates are included, all customizable). Typingpool uploads your audio and assignments to Amazon’s servers, where they are immediately made available to workers. As assignments are returned, you can use Typingpool to approve or reject each one. As you approve more and more assignments, your transcript grows until it is complete. You can cancel a transcription job at any time. You can provide a list of unusual words in the audio so transcribers are more accurate. You can re-assign chunks that have expired or been rejected. You can set deadlines for how long each worker may take on assignment, when assignments are pulled from Mechanical Turk, and how long you have to review an assignment before it is auto-approved. You interact with Typingpool through a collection of command-line programs: tp-make, tp-assign, tp-review, and tp-finish. You may sometimes need to use the program tp-collect. Another program, tp-config, is used only when installing Typingpool. A simple config file controls defaults (it’s at ~/.typingpool and in YAML format) and a cache file keeps network connections to a minimum. Output The final output of Typingpool is a folder on your computer containing a transcript file. The transcript file is HTML – a web page you can open in your browser – with audio chunks embedded alongside each associated transcript chunk. The project folder also includes supporting files, including a CSV data file used to store raw transcript chunks, Amazon Mechanical Turk HIT information, and other metdata; Javscript code that swaps in Flash players on browsers that don’t support mp3 files in audio tags; the original audio files and the audio chunks generated from them; and a CSS file. The folder is laid out like so: Chad Interview/ -> transcript.html | transcript_in_progress.html -> audio/ -> chunks/ -> Chad Interview.00.00.mp3 -> Chad Interview.01.00.mp3 -> ... [snip] -> originals/ -> chad1.WMA -> chad2.WMA -> data/ -> assignment.csv -> id.txt -> subtitle.txt -> etc/ -> audio-compat.js -> transcript.css -> About these files - readme.txt -> player/ -> audio-player.js -> license.txt -> player.swf Details For further details, keep reading below, or jump to your preferred section here: Usage Installation Configure your Amazon account. Install prerequisites(rvm, audio tools, Ruby, and perhaps a package manager). Mac OS X 10.8 Mountain Lion Mac OS X 10.7 Lion Mac OS X 10.6 Snow Leopard Ubuntu Linux 12.10 Quantal Quetzal Ubuntu Linux 12.04 Precise Pangolin Ubuntu Linux 10.04 Lucid Lynx Install the Typingpool gem. Run tp-config. Frequently Anticipated Questions (FAQ) Why won’t it work on Windows? Why not just use a transcription service? Isn’t the quality poor? Does Typingpool help exploit workers? What sort of work should I reject? Usage: Additional details Maintenance Problems? Source More Usage A typical workflow will use the bundled scripts in this order: tp-make -> tp-assign -> [wait] -> tp-review -> tp-finish tp-review may be called repeatedly, until transcripts for all audio chunks have been processed. Similarly, tp-assign may be called repeatedly, for example to re-assign chunks rejected using tp-review, or to re-assign chunks that have expired. (An alternate workflow would go like this: tp-make -> [manually upload data/assignments.csv to Amazon RUI] -> [wait] -> [approve/reject assignments via RUI] -> tp-collect -> tp-finish ) Example: tp-make 'Chad Interview' chad1.WMA chad2.WMA --unusual 'Hack Day, Yahoo' --subtitle 'Phone interview re Yahoo Hack Day' # => Converting chad1.WMA to mp3 # => Converting chad2.WMA to mp3 # => Merging audio # => Splitting audio into uniform bits # => Uploading Chad Interview.00.00.mp3 to ryantate42.s3.amazonaws.com as Chad Interview.00.00.33ca7f2cceba9f8031bf4fb7c3f819f4.LHFJEM.mp3 # => Uploading Chad Interview.01.00.mp3 to ryantate42.s3.amazonaws.com as Chad # Interview.01.00.33ca7f2cceba9f8031bf4fb7c3f819f4.XMWNYW.mp3 # => Uploading Chad Interview.02.00.mp3 to ryantate42.s3.amazonaws.com as Chad # Interview.02.00.33ca7f2cceba9f8031bf4fb7c3f819f4.FNEIWN.mp3 # => ... [snip] # => Done. Project at: # => /Users/ryantate/Desktop/Transcripts/Chad Interview tp-assign 'Chad Interview' interview/nameless --reward 1.00 --deadline 90m --approval 6h --lifetime 2d # => Figuring out what needs to be assigned # => 85 assignments total # => 85 assignments to assign # => Deleting old assignment HTML from ryantate42.s3.amazonaws.com # => Uploading assignment HTML to ryantate42.s3.amazonaws.com # => Assigning # => Assigned 85 transcription jobs for $85 # => Remaining balance: $115.00 [Wait...] tp-review 'Chad Interview' # => Gathering submissions from Amazon # => Matching submissions with local projects # => # => Transcript for: https://ryantate42.s3.amazonaws.com/ Chad%20Interview.29.00.263d492275a81afb005c8231d8d8afdb. UEMOCN.mp3 # => Project: Chad Interview: Phone interview re Yahoo Hack Day # => Submitted at: 2012-08-11 17:00:36 -0700 by A9S0AOAI8HO9P # => # => Chad: ... so it had sort of some geek history. And the # => weather was really bad. But it was an indoor event, # => right? So people were staying indoors. And like very # => early... And there was all this really expensive gear # => that the BBC had. Like these cameras that guys were like # => riding around on and stuff, huge sound stage, bigger than # => the one we had in Sunnyvale. # => # => Two hours into the event, we heard this big lightning # => strike, because we were up on a hill in London. And all # => the lights went out and the roof opened up in the # => building. What we didn't know is the fire supression # => system in that building which got blown up by the # => lightning during a fire would cause the roof to open # => up. So we had all these geeks with equipment and all this # => BBC equipment and it was literally raining on them. # => # => (A)pprove, (R)eject, (Q)uit, [(S)kip]? (1/20) a # => Approved. Chad Interview transcript updated. # => # => Transcript for: https://ryantate42.s3.amazonaws.com/ Chad%20Interview.30.00.263d492275a81afb005c8231d8d8afdb. RXNKRN.mp3 # => Project: Chad Interview: Phone interview re Yahoo Hack Day # => Submitted at: 2012-08-11 17:00:58 -0700 by A9S0AOAI8HO9P # => # => Blah blah blah blah okay I am done typing byeeeeeeee # => # => (A)pprove, (R)eject, (Q)uit, [(S)kip]? (2/20) r # => Rejection reason, for worker: There's no transcription at all, just nonsense # => Rejected # => # => Transcript for... # => ... [snip] tp-finish 'Chad Interview' # => Removing from Amazon # => Collecting all results # => Removing HIT 2GKMIKMN9U8PNHKK58NXL3SU4TCBSN (Reviewable) # => Removing from data/assignment.csv # => Removing from local cache # => Removing HIT 2CFX2Q45UUKQ2HXZU8SNV8OG6CQBTC (Assignable) # => Removing from data/assignment.csv # => Removing from local cache # => Removing HIT 294EZZ2MIKMNNDP1LAU8WWWXOEI7O0... # => ... [snip] # => Removing Chad Interview.00.00. 263d492275a81afb005c8231d8d8afdb.ORSENE.html from ryantate42.s3.amazonaws.com # => Removing Chad Interview.01.00... # => ... [snip] # => Removing Chad Interview.00.00. 263d492275a81afb005c8231d8d8afdb.RNTVLN.mp3 from ryantate42.s3.amazonaws.com # => Removing Chad Interview.01.00.... # => ... [snip] If you have additional questions, they may be answered in the section “Usage: Additional details” below, or in one of the links in the “More” section, also below. Installation There are four broad steps to install Typingpool: Configure your Amazon account. Install prerequisites(rvm, audio tools, Ruby, and perhaps a package manager). Mac OS X 10.8 Mountain Lion Mac OS X 10.7 Lion Mac OS X 10.6 Snow Leopard Ubuntu Linux 12.10 Quantal Quetzal Ubuntu Linux 12.04 Precise Pangolin Ubuntu Linux 10.04 Lucid Lynx Install the Typingpool gem. Run tp-config. 1. Configure your Amazon account The below assumes you’ve already got an account on Amazon.com that you want to begin using for Mechanical Turk and Typingpool. It walks you through signing up for Amazon Mechanical Turk, Amazon S3, and obtaining the security credentials you’ll use to configure Typingpool later. Visit requester.mturk.com. Click “Create an Account” in the top right corner. If prompted, sign in with your usual Amazon account. Fill out the “User Registration” page, using your own name for “Company Name” (unless you personally have your own named business entity). After you’ve created your account, you’ll want to put some money in it to cover the cost of your first Mechanical Turk assignment. If you don’t have plans to immediately use Typingpool/Mechanical Turk, you can skip this step. To fund your first assignment, click “Account Settings” in the top right corner. Then click “Prepay for Mechanical Turk HITs” under the section “Your Balance.” You’ll be prompted to enter an amount. Put in just enough to cover your first assignment: minutes of audio -times- how much you’re willing to pay per minute (default $0.75) -times- 1.1 (to cover the 10% Amazon surcharge). So for 60 minutes of audio at $0.75, you’d put in $49.50. There’s no automated way to get your prepaid balance refunded, so only pre-pay what you plan to immediately use, at least at first. After entering the amount, click “Continue to Amazon Payments.” You might be prompted to log in with your Amazon account again. You’ll be prompted to add a credit card and to confirm the amount of the pre-pay. Next you’ll need to sign up for Amazon S3, or Simple Storage Service. This is the website Typingpool uses to make your audio files available to transcribers around the world. Visit aws.amazon.com/s3. Click “Sign Up” near the top right corner. You may be prompted to sign in. Use your usual Amazon account. Fill out the contact information form. Enter your credit card details. Amazon S3 will charge small amounts for when Typingpool uses it to temporarily host your audio. These fees are a tiny fraction of what you spend on transcription. For example, I paid 1.08 cents to host an hour-long mp3 on S3 for three days versus $49.50 for the workers and Mechanical Turk fees. At this stage, you may be prompted for a phone number to verify your identity. The call is automated and painless. Your account will either be confirmed or Amazon will promise to email you when it’s confirmed. In my experience, Amazon may “forget” to send this email even when your S3 account is up and running. Next you will need to obtain Amazon S3 security credentials for use with Typingpool. Go to aws.amazon.com and open the “My Account” menu near the top right corner. When the menu opens, select “Security Credentials” at the bottom. Scroll down to the “Access Credentials” section, which contains a subsection called “Accesss Keys,” which contains a subsection called “Your Access Keys.” There should already be one key, if not click “Creare a new Access Key.” Copy the letters under “Access Key ID,” then paste them somewhere you can get to later, like a text file or Word doc. Click “Show” under “Secret Access Key,” then copy the secret access key, then paste it under your access key. You’ll use both these keys later to set up Typingpool. 2. Install prerequisites In this section you’re going to install the various bits of external software Typingpool needs in order to run. There are quite a few such bits! You’ll need rvm, the Ruby Version Manager, since Typingpool needs a newer version of Ruby than presently ships with any Mac or Ubuntu Linux system. You’ll need audio tools like ffmpeg and other miscellaneous prerequisites (xml and zip libraries, etc.). You’ll need a Ruby of version 1.9.2 or better. If you’re installing on a Mac, you’re also going to install a general package manager called Homebrew (or MacPorts, if you prefer, see instructions in parenthesis). The package manager will let you more easily install the audio programs Typingpool needs. Don’t worry, I’ve tested this process on something like nine different system configurations and will walk you through it. Find your operating system below to begin. Jump to: Mac OS X 10.8 Mountain Lion Mac OS X 10.7 Lion Mac OS X 10.6 Snow Leopard Ubuntu Linux 12.10 Quantal Quetzal Ubuntu Linux 12.04 Precise Pangolin Ubuntu Linux 10.04 Lucid Lynx Mac OS X 10.8 Mountain Lion and Mac OS X 10.7 Lion Make sure your Mac is up to date: Select Apple menu/Software Update. Install any updates. Install Xcode from the Mac App Store: Open the Mac App Store, search for Xcode, and click Install. Finish the install by launching Xcode and installing device component support when prompted. Install Xcode command line tools: Launch Xcode, select Xcode/Preferences from the menus, select the Downloads tab, and click Install next to Command Line Tools. Install rvm(Ruby Version Manager): Launch the Terminal (click on the magnifying glass on the top right of your screen, type Terminal, and select the Terminal application). Type curl -L https://get.rvm.io | bash -s stable and hit the Return key. Respond to any prompts in the affirmative. Close and re-open the Terminal window to load rvm: Close the current Terminal window by clicking the red button in the top left corner of the window. Open a new Terminal window by selecting the Shell menu and then “New Window.” Install Homebrew: In the Terminal, type ruby -e
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  4. target: c.dns.gandi.net
host: typingpool.org
  1. class: IN
  2. ttl: 10800
  3. type: NS
  4. target: a.dns.gandi.net
host: typingpool.org
  1. class: IN
  2. ttl: 10800
  3. type: NS
  4. target: b.dns.gandi.net
host: typingpool.org
  1. class: IN
  2. ttl: 10800
  3. type: SOA
  4. mname: a.dns.gandi.net
  5. rname: hostmaster.gandi.net
  6. serial: 1456600936
  7. refresh: 10800
  8. retry: 3600
  9. expire: 604800
  10. minimum-ttl: 10800

Common Typos/Mistakes

This list shows You some spelling mistakes at internet search for this domain.

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