7
votes
Is it possible to clean up an audio recording of a lecture using some type of AI system?
Yes, it is possible. Usually, the noise reduction is done using regular signal processing methods, such as spectral subtraction due to demand for low latency. But, of course, modern methods of deep ...
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7
votes
Accepted
How much of a problem is white noise for the real-world usage of a DNN?
The white noise that fools DNNs isn't really white noise. It has been altered in the same way as the synthetic misclassified pictures have been altered. You have to change many input pixels in exactly ...
- 4,127
6
votes
Are there any studies which attempt to use AI to guess the human emotion based on the brainwaves?
As per this site
Researchers recorded the complex patterns of electrical activity generated by someone’s brain, as the subject listened to someone talking.
By feeding those brainwave patterns ...
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5
votes
Are there any studies which attempt to use AI to guess the human emotion based on the brainwaves?
There has been previous research with promising results cited at length in the following recent article, and although they have limited training data, here is some impressive research for an ...
- 329
3
votes
Is there a "better" (signal-based) language for artificial intelligence
What You need are other ways of knowledge representation, such as semantic networks or conceptual graphs. there you can define any possible relation between your entities. the knowledge of "x related ...
- 395
3
votes
Accepted
Is there a way to perform pattern recognition without a labeled training set?
You should look into unsupervised learning, which is machine learning without a human-labeled training set.
- 1,991
2
votes
Can I reduce the "number of weights" in CNN to 1/3 by restricting the input as greyscale image?
After inner product, add them all to make one feature map. Am I right?
yes, you are right.
Then, can I reduce the number of weights in the filters? Because in this case, using three different n×n ...
- 119
2
votes
Accepted
What is a temporal feature?
In general, the expression "temporal feature" might refer to any feature that is associated with or changes over time.
However, in the context of signal processing, a temporal feature might ...
- 37.1k
1
vote
AI in signal processing: how to reduce data volume
5G technology incorporates Αrtificial Intelligence in a number of ways.
It can help to manage Network traffic and optimize its performance.
It can also be used to improve the accuracy of predictions ...
- 1,004
1
vote
Accepted
Is it a good practice to pad signal before feature extraction?
Padding is a common practice both in image-processing (typically via CNNs) and in sequence-processing tasks (RNNs, Transformers).
For CNNs all the standard convolutional layers - Conv1D, Conv2D and ...
- 2,270
1
vote
Accepted
Which type of feature extractor do you suggest to classify sensor data?
There could be multiple possible ways to extract the features. One would be to use RNNs for a temporal relationship as the input data is time-series.
1
vote
Aren't all discrete convolutions (not just 2D) linear transforms?
The convolutions are linear transformations. However in typical applications a non linear activation function like RELU is used following the convolution to provide non-linearity otherwise a ...
- 694
1
vote
Analyzing vibration using machine learning
If you want to use machine learning for such a project, you can use vibrations data directly, and treat the problem as a regular audio classification problem.
A simple approach would be to use a ...
- 880
1
vote
How can I remove the noise from an EEG signal?
If the noise is confined to a particular spectral band, Fourier transform followed by filtering, followed by an inverse Fourier transform will work. If it is multiplicative noise, filtering the ...
- 363
1
vote
How can I remove the noise from an EEG signal?
This might be more of a signal-processing question, rather than a artificial intelligence question, but I will try my best to be of help.
Do you know what the noise you are trying to remove is? How ...
- 211
1
vote
Accepted
Can a neural network be used to detect sine waves?
Is this a task suited for a neural network
Yes. You have choices in fact:
A fully-connected network would be simplest architecture, and would work if you gave it some time window of samples (e.g. ...
- 26.6k
1
vote
Can AI be used to reverse engineer a black box?
Yes this is entirely possible. As was previously mentioned, complex connectionist systems are often thought of as black boxes(despite us being able to "look in" the box given enough computation and ...
- 1,235
1
vote
Is there a "better" (signal-based) language for artificial intelligence
I don't know if this is what you want, but Artificial Intelligence Markup Language or simply AIML is something that you should consider.
The only problem I see with this language is that it is not ...
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