Keras vs. Nuance Dragon Speech Recognition

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Keras
Score 7.8 out of 10
N/A
Keras is a Python deep learning libraryN/A
Dragon Speech Recognition
Score 8.9 out of 10
N/A
Nuance's Dragon Speech Recognition suite are applications for lawyers, medical practitioners, and other professionals, allowing them to dictate and record notes (according to the vendor) faster than typing, accurately.
$14.99
per month
Pricing
KerasNuance Dragon Speech Recognition
Editions & Modules
No answers on this topic
Dragon Anywhere
$14.99
per month
Dragon Professional Individual, v15
$500
per license
Dragon Legal Individual, v15
$500
per license
Dragon Professional Anywhere
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Dragon Legal Anywhere
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Dragon Law Enforcement
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Offerings
Pricing Offerings
KerasDragon Speech Recognition
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
KerasNuance Dragon Speech Recognition
Top Pros
Top Cons
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KerasNuance Dragon Speech Recognition
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User Ratings
KerasNuance Dragon Speech Recognition
Likelihood to Recommend
8.1
(6 ratings)
9.0
(7 ratings)
Usability
7.7
(2 ratings)
10.0
(1 ratings)
Support Rating
8.2
(2 ratings)
5.0
(2 ratings)
User Testimonials
KerasNuance Dragon Speech Recognition
Likelihood to Recommend
Open Source
Keras is quite perfect, if the aim is to build the standard Deep Learning model, and materialize it to serve the real business use case, while it is not suitable if the purpose is for research and a lot of non-standard try out and customization are required, in that case either directly goes to low level TensorFlow API or Pytorch
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Nuance
My job requires that I produce lengthy and detailed minutes of meetings and Nuance Dragon Speech Recognition is absolutely ideally suited for this purpose. Notably, meetings are recorded and it is extremely easy to playback the recording of meetings while dictating notes. This is a remarkable saving in time and effort in producing minutes that might otherwise take a few days. I cannot think of any scenario where it would be less appropriate to use Nuance Dragon Speech Recognition other than in a situation where it is not possible to dictate for whatever reason.
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Pros
Open Source
  • One of the reason to use Keras is that it is easy to use. Implementing neural network is very easy in this, with just one line of code we can add one layer in the neural network with all it's configurations.
  • It provides lot of inbuilt thing like cov2d, conv2D, maxPooling layers. So it makes fast development as you don't need to write everything on your own. It comes with lot of data processing libraries in it like one hot encoder which also makes your development easy and fast.
  • It also provides functionality to develop models on mobile device.
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Nuance
  • The main advantage is that it calibrates itself around your tone and accent.
  • Integration with many apps and operative system is good.
  • Integrating custom words and acronyms is very easy, so, over time, recognition becomes very precise and customized.
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Cons
Open Source
  • As it is a kind of wrapper library it won't allow you to modify everything of its backend
  • Unlike other deep learning libraries, it lacks a pre-defined trained model to use
  • Errors thrown are not always very useful for debugging. Sometimes it is difficult to know the root cause just with the logs
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Nuance
  • Word recognition can always improve.
  • Sometimes puts stray words or characters on the page if you forget to tell the microphone to go to sleep.
  • Adds non-spoken words for no reason if there is a delay in speaking.
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Likelihood to Renew
Open Source
No answers on this topic
Nuance
  • Nuance Dragon Speech Recognition is not up to par with any of the other AI voice recognition technologies currently available
  • The software is also very buggy and crashes frequently
  • Punctuation also seems like an afterthought for Nuance Dragon Speech Recognition software--requiring the user to speak out each comma, period, etc.
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Usability
Open Source
I am giving this rating depending on my experience so far with Keras, I didn't face any issue far. I would like to recommend it to the new developers.
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Nuance
Once you learn the product, it is quite easy to use.
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Support Rating
Open Source
Keras have really good support along with the strong community over the internet. So in case you stuck, It won't so hard to get out from it.
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Nuance
One of the worst companies in terms of customer service getting the download file because of a laptop upgrade took me months of work. No jokes.
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Alternatives Considered
Open Source
Keras is good to develop deep learning models. As compared to TensorFlow, it's easy to write code in Keras. You have more power with TensorFlow but also have a high error rate because you have to configure everything by your own. And as compared to MATLAB, I will always prefer Keras as it is easy and powerful as well.
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Nuance
Other than the more recent speech recognition tools from Microsoft, Google, etc., I have always used Nuance Dragon Speech Recognition. I was introduced to AI technology on an appraisal assignment. During the engagement, I had an opportunity to learn about the technology, and when I researched speech recognition software, the best reviews were of Nuance Dragon Speech Recognition. I purchased Nuance Dragon Speech Recognition and have stayed with the product.
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Return on Investment
Open Source
  • Easy and faster way to develop neural network.
  • It would be much better if it is available in Java.
  • It doesn't allow you to modify the internal things.
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Nuance
  • Nuance Dragon Speech Recognition has made it easier to dictate progress notes
  • Nuance Dragon Speech Recognition has made seeing patients more efficient
  • Nuance Dragon Speech Recognition was a little expensive for our smaller practice
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