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Questions tagged [machine-learning]

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0answers
38 views

How to overcome different MFCC coefficients distributions from different speech datasets?

I am using MFCC values as features for a machine learning model of speech, detecting age from a voice recording of a person. I work with voice datasets I found on the web: common-voice and vctk. ...
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0answers
10 views

how to do supervised NMF source separation?

I know how NMF works by itself (unsupervised), but I am now interested in learning how it works in the supervised way. Suppose I have a clean isolated time domain signal of about 3 seconds in length ...
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2answers
33 views

Converting speech audio to telephone audio

I am trying to train a machine learning algorithm on telephony speech audio. However, there isn't really enough data for this anywhere that I can find. My solution is to just use speech audio from ...
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0answers
66 views

Audio Feature Extraction MFCC & LPC (MATLAB)

I'm doing gunshot recognition project using MATLAB and on feature extraction stage I'm stuck at MFCC and LPC extraction. I want to calculate 8th order LPC and first 13 MFCC's. But when I used ...
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0answers
27 views

Sound recognition within an audio signal

I'm trying to do some tests in Android. The phone's microphone is continuously listening, and whenever a balloon is blown, I would like to detect it. There are of course other ambient sounds/noises. ...
0
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1answer
66 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
20 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
22 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
28 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}^{...
1
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0answers
279 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
274 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
51 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?
0
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1answer
352 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 ...
3
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1answer
808 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
136 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
154 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
346 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
405 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
116 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
23 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
101 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 ...
2
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1answer
48 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....
1
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1answer
955 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
71 views

Why prediction by AR model causes time lag

Why does prediction by AR model cause a time lag? Please tell me why theoretically.
0
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2answers
299 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 ...
0
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1answer
181 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 ...
1
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2answers
83 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,...
4
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3answers
78 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 ...
0
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0answers
45 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 ...
0
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1answer
59 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 ...
1
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0answers
173 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
157 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
228 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
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1answer
143 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 ...
1
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2answers
178 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
33 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
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1answer
612 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
716 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 ...
0
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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
64 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 ...
1
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1answer
305 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
567 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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1answer
374 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
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1answer
112 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
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1answer
63 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
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1answer
420 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 ...
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0answers
127 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
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1answer
5k 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 ...