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How is PACF analysis output related to LSTM?

I was going through a recent paper “A Novel Hybrid Data-Driven Model for Daily Land Surface Temperature ForecastingUsing Long Short-Term Memory Neural Network Based on Ensemble Empirical ...
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0answers
16 views

Root Locus: Property

Given a transfer function L(s)=10s+ 3/4s^2+4 A root locus plot similar to that shown below can be obtained:
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1answer
52 views

Techniques to reject noisy neural network input

Suppose an artificial neural network is used to approximate a sine wave (shown in red in the graph below), given the linear input variable $x$ (scaled such that the ANN input is $x_{\rm nn}\in[-1;1]$)....
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1answer
17 views

Conversion of airflow signal into 1-D as a input for CNN [closed]

Trying to detect apnea from airflow signal. I have 100 files of the patient each file contains at least 8 hours of data and sampling rate is 32 Hz. How to prepare my dataset which is used as an input ...
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0answers
20 views

Blind Signal Separation for Sparse Signals / Sources

Assume we have $N$ measurements $z_1, ..., z_N \in \mathbb{R}^{n_z} $ that generated by $$ z_i = M v_i + e_i $$ where $v_i \in \mathbb{R}^{n_v}$, $n_v < n_z$ and $e_i$ an error sampled from ...
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0answers
26 views

Blind Signal Separation for Sparse Signals

Assume we have $N$ measurements $z_1, z_2, \dots, z_N \in \mathbb{R}^{n_z}$ that are generated by $$ z_i = M v_i + e_i $$ where $v_i \in \mathbb{R}^{n_v}$, $n_v < n_z$ and $e_i \in \mathbb{R}^{...
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0answers
122 views

Cocktail Party Problem — audio source separation

I am trying to solve the Cocktail Party Problem. I am trying to separate these two mixed audio files: mixed 1 [WAV] mixed 2 [WAV] into 2 separate audio files that contain the 2 original sources, ...
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1answer
141 views

Is there a penis detection demo similar to face detection?

Tutorial for face detection: Is there a script / tutorial / demo for penis detection? These guys ran into some issues: Fairly serious question, future of internet memes is at stake. Breast / ...
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0answers
26 views

tweaking regularisation parameters in MATLAB fitcsvm()

I am trying to implement an SVM in MATLAB. I am not sure how to change the regularisation parameter 'C' as I would using Scikit-Learn. Any suggestions?
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1answer
182 views

Formula to calculate Cepstral coefficients (not MFCC)

I am currently working with non-audio signals of which I would like to calculate the Cepstrum coefficients with Python so that I can use them with machine learning algorithms. That's probably a quite ...
2
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1answer
516 views

Python: Least Squares Support Vector Machine (LS-SVM)

I'm looking for a Python package for a LS-SVM or a way to tune a normal SVM from scikit-learn to a Least-Squares Support Vector Machine for a classification problem. The goal of a SVM is to maximize ...
2
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1answer
66 views

MFCC Classification

I'm working on gender estimation from speech signal and I completed MFCC feature extraction. So now I'm trying to estimate gender from these features. But I have frames for an audio file and I ...
0
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1answer
122 views

Outlier Detection after Detrending a Time Series With Missing Values or NaN

Goal Substitute outliers in a time series by most recent valid data Problem The time series (end-of-day stock prices) has several 'uncomfortable' properties: It is non-stationary and can have ...
0
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1answer
210 views

Downsampling audio for use in Machine Learning

I'm trying to use the work (Neural Networks) done in this repo: https://github.com/jtkim-kaist/VAD It says this: Note: To apply this toolkit to other speech data, the speech data should be ...
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2answers
278 views

sound classification

Hello I am trying to do sound classification in matlab. I have different samples of sounds for 2 seconds. How can I proceed with that. The sounds I am using are churchbell, footsteps, trains, sirens ...
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0answers
94 views

Machine learning, detect voice in a noisy environment

I'm trying to detect voice in a noisy environment. This is a New Zealand suburban/bush soundscape. We're using low quality microphones (but I don't think this has an effect on my problem) to ...
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0answers
22 views

Does anyone know any kind of neural network whose evaluation is similar to the evaluation of a decision tree?

A neural network unlike a decision tree (CART and tree regression), generally, requires much more computation to generate its output because it needs to evaluate each neuron of each layer, however, ...
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3answers
65 views

Features Used for Instrument Recognition?

I'm building a neural network for instrument recognition based on the IRMAS data set. However, I'm a bit at a loss for what features to use. MFCC seems to be quite popular but extracting this per ...
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1answer
46 views

How to correctly classify voice from other sound events?

I have a huge labeled dataset of several thousand sound events, including human voice, dish washing, things falling to the ground, among others. I need to report when a human voice event takes place....
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1answer
758 views

Feature Extraction of FFT for One Class SVM

I'm looking for a good way of extracting features from the frequency domain of vibration data for a one-class support vector machine. The image below shows an example from the dataset found in this ...
3
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2answers
89 views

How can I take a fixed number of bins after N-point DFT when N is unknown?

I am working with machine learning for time series classification. I am trying to extract features from the amplitude spectrum. My current concern is that I cannot tell the length of the signal in ...
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0answers
59 views

Why prediction by AR model causes time lag

Why does prediction by AR model cause a time lag? Please tell me why theoretically.
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2answers
262 views

How should someone start to learn machine learning and computer vision for mobile applications? [closed]

I am very interested in learning Machine Learning and Computer Vision for mobile apps, for iOS and Android. But I have no clue or even a slight idea on how to even begin. I know this is heavy on math ...
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1answer
151 views

How to predict next image in a sequence, or predict the deblurring of an image?

I have 3 versions of an image at lower resolutions - 480p, 720p, and 1080p. Is it possible to use those 3 images to predict the next highest resolution image (the 4k image)? My first guess was that ...
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2answers
81 views

What is the type of these signals?

I want to do some DSP and Machine learning experiments on Electrical and Acoustic signals, but, due to some language setbacks, I didn't know how to call the type of my signal, what I use to google now,...
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3answers
74 views

Classifing audio signals to detect fault

The basic idea i'm working on is automatic fault detection using audio signals captured from Motor. I have like set of sample audio signal which are recorded when there is no fault and with fault at ...
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0answers
43 views

Distinguish between (not labeled) mixed signals

I have N (movement detection) sensors. (N is determined. Usually five.) All sensors are connected to one wireless AP (access point/network router). Each sensor sends two types of data to the ...
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1answer
56 views

How to obtain the probability of a detection?

I will use a specific example from image processing to illustrate my question, but I'm actually interested in the higher level / abstract procedure. I must lack the specific vocabulary and my hunch is ...
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0answers
159 views

How to use frame based audio features for machine learning

I have an audio recording (wav file) that is 2 seconds long. That is my sample and it needs to be classified as [class_A] or [class_B]. To extract MFCC features, I divided the sample into frames (183 ...
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0answers
152 views

Machine learning to find an optimal set of parameters for a segmentation algorithm

Using machine learning to find an optimal set of parameters for a given segmentation algorithm. In the "classical" case of machine learning, in the training phase, the data set is constant and the ...
0
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1answer
195 views

How to use Principal component Analysis(PCA) to extract feature from images [closed]

How can use principal component Analysis to extract feature from image that is been acquired by the camera?
0
votes
1answer
132 views

Want to do shot boundary detection via SVM, what are some good features?

I want to do shot boundary detection via SVM's. I'm dividing the frame into nxn blocks. Per block I'm finding these features: shannons entropy edges (H,V,Diag) standard deviation for consecutive ...
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2answers
156 views

Need of $\tt abs()$ method when plotting a power spectral density for a given dataset

I am a newbie in signal processing and would like to know the significance of using the abs() function and squaring the values received as an output of ...
0
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1answer
30 views

If a ($k$-Nearest-Neighbors) kNN algorithm performs very well for low $k$, can I infer something about the data set?

I am running kNN on a very small data set for binary classification. Each class has 100 samples. I am getting the best performances for $k=1$ and $k=3$. Can I deduce information about my dataset ...
2
votes
1answer
489 views

Difference between clustering and quantization : Part 2

The Lloyd-Max quantizer is a scalar quantizer which can be seen as a special case of a vector quantizer (VQ) designed with the Linde Buzo Gray (LBG) algorithm. In k-means clustering, we are given a ...
3
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1answer
581 views

Lloyd Max quantization and clustering : Part 1

The Lloyd-Max quantizer is a scalar quantizer which can be seen as a special case of a vector quantizer (VQ) designed with the Linde Buzo Gray (LBG) algorithm. In k-means clustering, we are given a ...
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0answers
41 views

How to derive the probability (as follows) according to the sum and product rules

How to derive the formulation by the sum and products? $$p(t|\mathbf{x},\mathcal{D})=\sum_{i=1}^{L}p(t|\mathbf{x},\mathcal{M}_i, \mathcal{D})p(\mathcal{M}_i | \mathcal{D})$$
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0answers
63 views

Is it possible to classify sounds from one long sound file?

I was successfully able to classify sounds by training and testing MFCC of separate sound files (a short file for each class). My question is whether I can classify sounds (e.g. vehicle engine sounds) ...
3
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1answer
1k views

From MFCC to Machine learning. What are the steps?

I was able to get a dataset with MFCC coefficients. However, depending on the length of my sound file I get a different sized matrix. As in, 13 (13 MFCC coefficients) by XXX, where XXX will vary ...
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1answer
251 views

What would the target matrix to train Neural Network?

I'm new at Artificial Neural Network and I'm using MATLAB developing Facial expression recognition and There are six expressions ; I'm not able to understand about How to create a target matrix? My ...
0
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1answer
421 views

Replicating Research: Feature Vectors of Audio Samples

I'm trying to make a few classifiers with scikitlearn. I'm using the Urban Sound database, and trying to replicated their research for a baseline. However, I don't understand how they derive their ...
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votes
1answer
340 views

Is image annotation a hard AI problem? [closed]

From Wikipedia "In the field of artificial intelligence, the most difficult problems are informally known as AI-complete or AI-hard, implying that the difficulty of these computational problems is ...
1
vote
1answer
105 views

MFCC for very short signals

I have very short signals (usually 100 samples from a 44100 hz audio recording ). These are 'bang' noises that a hammer makes on a piece of metal. I want to use these short signals as input to some ...
0
votes
1answer
62 views

Face detection in videos [closed]

I have to detect faces in videos using machine learning methods like SVM, I have to build it from scratch not using any inbuilt face detectors.My time limit is like 15hours from now.Can I get any ...
1
vote
1answer
357 views

What does it mean to train and test a data for feature extraction?

I know how to do a feature extraction of a data using specific feature like entropy, and energy, using its train and test file to get the accuracy of it. But, i'm still quite confused on the concept ...
0
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0answers
118 views

Making Unscented Kalman Filter Robust for Nonlinear Parameter Estimation Problems

So I have built code for an Unscented Kalman filter that can take any specified state and measurement dynamics. I have tested it on various linear problems and it works well, as expected. The main ...
2
votes
1answer
4k views

When is a network called end-to-end training?

In machine learning, we often see the expression "end-to-end" learning (or training). However, I do not know that it means. When is a network called end-to-end training? How to recognize a network is ...
4
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1answer
169 views

Relationship between information retrieval and source separation in signal processing

In machine learning, for the task of classifying input data (called an example) which are in binary representation, $\mathbf{x}\in \mathbb{R}^D$, $\mathbf{x} \in \{0,1\}^D$ into its multiple class ...
0
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1answer
78 views

Answering Machine vs. Human — Neural Network Features Selection

I've been tasked with creating an artificial neural network that can classify a telephone call as either answered by a human or an answering machine. My knowledge of audio processing is, mildly put, ...
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0answers
56 views

Support Vector Machine is unable to recognize the digits in images properly

I am training a SVM on MNIST Handwritten digits database to make a basic digit recognizer. It is able to recognize digits easily on some standard images I took from a source. I then captured an image ...