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Cheap, Easy Audio Transcription with Mechanical Turk ...

    https://waxy.org/2008/09/audio_transcription_with_mechanical_turk/
    Bracing for a good four or five hours of rewinding and writing and rewinding, I remembered that this is The Future! So, instead, I tossed the job over to the global anonymous workforce at Amazon Mechanical Turk instead.. The result: my 36-minute recording was transcribed while I slept, in less than three hours, for a grand total of $15.40.

Mechanical Turk for transcribing audio recordings and ...

    https://thedesignspace.net/cut_up_a_voice_/
    Mechanical Turk for transcribing audio recordings and captioning Posted on June 13, 2013 November 19, 2013 by ellen I sometimes record lectures or meetings for later reference, and have found Mechanical Turk to be an efficient and affordable method for transcribing them.

USING THE AMAZON MECHANICAL TURK FOR …

    https://www.cs.cmu.edu/~mrmarge/icassp10margem.pdf
    takes 10 times the length of the audio being transcribed). Amazon’s Mechanical Turk 1 (MTurk) can potentially reduce the cost of manual speech transcription. Dubbed “artificial artificial intelligence”, MTurk is a marketplace for human workers (“turkers”) who perform tasks for …

Amazon Mechanical Turk

    https://www.mturk.com/worker
    These include tasks such as identifying objects in a photo or video, performing data de-duplication, transcribing audio recordings or researching data details. What type of work is available on Amazon Mechanical Turk? Learn more about common tasks available below. Image/Video Processing. While difficult for computers, it is extremely easy for ...

Mturk For Audio Transcription - Scribie Blog

    https://scribie.com/blog/2012/09/mturk-for-audio-transcription/
    If you are not familiar with Mechanical Turk, it is a service by Amazon where you can post tasks which are meant to be done only by humans. Think image captioning, categorization of articles, audio transcription, etc. Mturk has been used for projects ranging from art to search and rescue operations. Where Mturk is generic, we are specialized.

Amazon Mechanical Turk

    https://www.mturk.com/customers
    Besides evaluations by discriminative models, we were able to quickly stress-test the audio samples by crowdsourcing perceptions. Using Amazon Mechanical Turk, we were able to tap on a large number of listeners to rate the quality of the audio and compare it to original human recording.” - Greg Diamos, Senior Researcher, Baidu Research

javascript - Buttons to play Audio in Mechanical Turk ...

    https://stackoverflow.com/questions/17494672/buttons-to-play-audio-in-mechanical-turk
    We would like to integrate audio in an Amazon Mechanical Turk HIT, with buttons to play and increase or decrease volume. <audio id="player" src="test.mp3"></audio ...

Amazon Mechanical Turk Review: Quick Money or Waste …

    https://www.homeworkingclub.com/amazon-mechanical-turk-review/
    Amazon Mechanical Turk, or MTurk, as it;s popularly known, is a crowdsourced microwork site that was created in 2005. It’s a place where you can do be paid for carrying out small online tasks. The name comes from a device invented by Hungarian Wolfgang von Kempelen, who in 1769 convinced much of Europe that he’d built what amounted to a ...

Tools for collecting speech corpora via Mechanical-Turk

    https://isl.anthropomatik.kit.edu/pdf/Lane2010a.pdf
    mechanical-turk frameworks. When recording prompted speech there are three types of issues that result in unsuitable data: • Garbage Audio: recordings that are emp-ty, clipped, have insufficient power, or are incorrectly segmented. • Low quality recordings: low Signal-to-Noise recordings due to poor equipment or large background noise

Using the Amazon Mechanical Turk to Transcribe and ...

    https://aclanthology.org/W10-0716.pdf
    Recently, Amazon s Mechanical Turk (MTurk) has been shown to produce useful transcriptions of speech data; Gruenstein et al. (2009) have success-fully used MTurk to correct the transcription out-put from a speech recognizer, while Novotney and Callison-Burch (2010) used MTurk for transcrib-ing a corpus of conversational speech. These stu-

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