Connect: Facebook Twitter gprofile_button-64 linkedin_in_icon_55px
Member Center: Register | Login
feedback

Try Our Software Free!

Free Trial
  1. First Name:(*)
    Please enter your first name.
  2. Last Name:(*)
    Please enter your last name.
  3. Email Address:(*)
    Please enter your email address.
  4. Company/School:
  5. Your interest is:(*)




    Please select your area of interest.
  6. Enter Code:(*)
    Enter Code:
      RefreshPlease enter the code you see to prove you are not a SPAM robot.

Some of our Customers

Kansas State University
The Ohio State University
Insight
SERC Institute
Florida State University
West Virginia University
University of California - San Francisco
Portland State University
Iowa State University
Rochester Institute of Technology
First Things First External Eval
NTNU
Macalester College
The Mathematical Association of America
California State Polytechnic University
University of South Florida
Simon Fraser University
The University of Texas at Austin
University of North Carolina - Chapel Hill
Walden University

Beta-Testers Wanted

Volunteer beta-testers wanted!

Testimonials

I am so glad I made the switch from #NVIVO to #hyperresearch. Although index cards and floor space still preferred method for qual data

Greg McVerry
(jgmac1106) via Twitter
bigstock-tell-a-friend-7837619

Our Referral Program is Back...
Tell A Fellow Researcher About HyperRESEARCH and You'll Both Benefit.

 

Earn a $25 Amazon Gift Certificate through our Refer-a-Researcher program simply for referring a fellow researcher.

 

          

Automatic transcription of audio files

We get a lot of potential customers looking for software that will automatically transcribe their audio or video files for them. HyperTRANSCRIBE software makes transcription a lot easier, however, it cannot transcribe automatically -- just as HyperRESEARCH can aid in coding & analyzing qualitative data, but it can't do your research for you.

We would love to be able to provide software that automatically transcribes speech. Unfortunately the technology to support speech recognition simply hasn't gotten to the point where automatic transcription of audio or video recordings can match, let alone surpass, the accuracy of (good) human transcriptions.

 

One of the reasons for this is that speech is incredibly complex, with variations in accents and enunciation as well as pitch and tone of voice, making it hard to match spoken words to written ones.

Commercially available speech-to-text software, such as Nuance's "Dragon Naturally Speaking" software, generally works best if you "train" the software to a specific voice. Some researchers use Dragon Naturally Speaking to create transcripts by training it to their voice. They then listen to the audio they wish to transcribe and re-speak what they hear for the software to translate. There's a further step needed, however: proofreading the transcription and correcting any errors.

Progress is being made on cracking the "speech to text" nut. Apple recently applied for a patent on a method to convert speech to text and text to speech. And some voicemail providers offer automatic speech-to-text transcriptions of incoming voicemail.

Our own toll-free number and voicemail provider, Grasshopper, introduced this technology a little while ago. Here's an example that points out many of the problems currently inherent in automatic speech to text technology. This is an actual transcription we received for one of our incoming voicemails:

New Feature! Voice to Text
"Hi my name is Barbara thank you hello the phone number is [ommitted for privacy] ... the questions is really down the freeway sorry ... I have downloaded ... the hi square research and hyper transcribe ... the trial the trial version and I'm trying to get to this is holly ... and I can't I'm not seeming to find a documentation folder so ... again I know it's the fleas and short so hopefully can give me a callback on how I can access pass that would be great thanks bye bye."

Have a human transcribe this voicemail for better accuracy

Note the "Have a human transcribe for better accuracy" link.... Even speech-to-text providers realize that human transcription is often more reliable and accurate than the software can be. Of course, that depends on the skills of the transcriber...

Now here's my own transcription of the same voicemail.

Hi, my name is Barbara [last name ommited for privacy],  the phone number is [ommitted for privacy]

The question is really dumb and I'm really sorry.

I have downloaded HyperRESEARCH and HyperTRANSCRIBE, like the trial version, and I'm trying to get to the tutorials, and I can't. I'm not seeming to find a documentation folder.

So, again, I know it's the full (fool?) user error, I'm sure, so if somebody could give me a call back on how I can access stuff that would be great. Thanks, bye-bye!

Now, Grasshopper's automatic transcription actually did pretty well. It had trouble with the caller's last name (so did I, due to noise in the audio) and it's not familiar with the term "HyperRESEARCH" (transcribed as "hi square research"). It also replaced "ums" and "uhs" and pauses with "..." as a matter of course (a good decision on the part of the programers, as such "filler sounds" rarely have significance in voicemail).

Where it did have trouble (such as "I know it's the fleas and short" instead of "I know it's the full user error, I'm sure," there was noise on the line and the volume of the voicemail dropped a bit, making it hard for this human transcriber to make the words out. While I heard "full user," Paul, who was sitting in the same room as I transcribed this, heard "fool user."

And that's one thing that gives human transcriptions the edge over automatic transcriptions: humans can compensate, at least to a degree, for another person's mumbling or to poor audio quality and other problems that can affect the clarity of the speech being transcribed.

Human transcribers also have the luxury of determining how accurately they're going to transcribe a given audio or video file (or voicemail).

I had several options:

  • Transcribe verbatim, including "ums" and repetitive phrases such as "like, like," and even enter indications of non-language cues such as laughter and sighs
  • Skip over the "ums" and pauses as I transcribed (which is what I decided to do)
  • Transcribe only the relevant parts of the message.

With this latter approach, my transcription would be shorter:

Hi, my name is Barbara [last name ommited for privacy],  the phone number is [ommitted for privacy]

I have downloaded HyperRESEARCH and HyperTRANSCRIBE, like the trial version, and I'm trying to get to the tutorials, and I can't. I'm not seeming to find a documentation folder.

So, if HyperTRANSCRIBE doesn't do the transcription for you, how does it help?

HyperTRANSCRIBE lets you open and play most popular audio and video formats, and provides both graphical and keyboard control to play, pause, and loop playback so your hands never have to leave the keyboard. It allows fine tuning of the length of the loop and amount of overlap between loops, to fit with your own typing speeds and need for repetition (or lack thereof).

It also lets you choose exactly what you will and will not transcribe. Maybe you do want the "ums" and "uhs" and noting all the nuances in the speaker's tone of voice (e.g. <whisper>) in your transcription as it gives valuable insight into the speaker's frame of mind and possile emotional state while speaking.

There's one more advantage to doing transcriptions yourself: you'll be much more familiar with your data after spending the time listening to your audio files while you transcribe.

Those aren't advantages you can get from an automatic transcription.

Ready to Order?

buyitnowgreen150x150

Keep In Touch!



  1. Sign up for Researchware emails and be the first to learn about exclusive offers, product upgrades, and promotions.

  2. Please enter a valid email address.

Upcoming Webinar

Your Research Stories

Have an unusual research topic, or a unique approach? We want to hear about it! Tell us about your work with HyperRESEARCH.