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how to extract and combine features from speech?
Hello, what is the best way to extract features like MFCC, PLP, LPCC, Pitch, shimmer ... and combine them, does anyone have an i...
fast 2 Jahre vor | 0 Antworten | 0
0
AntwortenFrage
Permutation Entropy Analysis of Audio Files
Hello everyone, has anyone performed permutation entropy analysis on an audio file using this function?https://www.mathworks.com...
fast 2 Jahre vor | 1 Antwort | 0
1
AntwortFrage
CNN Performance: CPU Consistency vs. GPU Variance - Why?
Hello everyone, I have executed CNN code multiple times using rng(0) with CPU and consistently obtained the same result. Howeve...
fast 2 Jahre vor | 2 Antworten | 0
2
AntwortenFrage
Different Results Using Random Number Generation (RNG) with GPU
Hello everyone, I have used rng(0) to reproduce the same result using the entire matrix in my CNN code, and I effectively obtain...
fast 2 Jahre vor | 0 Antworten | 0
0
AntwortenFrage
Why didnt get the same result even when using RNG function?
Hello everyone, I utilized the RNG (Random Number Generator) function to ensure result reproducibility when employing the entir...
fast 2 Jahre vor | 1 Antwort | 0
1
AntwortFrage
How do I determine the corresponding weights and biases for each feature
Hello everyone, I have applied a 1D CNN on data with dimensions 60575 × 39 features, and obtained the attached net. How do I det...
fast 2 Jahre vor | 1 Antwort | 0
1
AntwortFrage
Reuse of Weights and Biases in CNN
Hello everyone, I have applied a 1D CNN to a training dataset with dimensions 60095×39 and obtained the attached network. Now, I...
fast 2 Jahre vor | 1 Antwort | 1
1
AntwortFrage
Variations in LSTM Accuracy Due to Shuffled Feature Columns
Hello everyone, I applied LSTM to speech emotion recognition and achieved an accuracy of 42.1709%. However, when I shuffled the ...
fast 2 Jahre vor | 0 Antworten | 0
0
AntwortenFrage
CNN Classification Different Results When Shuffled Columns
Hello everyone, I have applied 1D CNN on speech recognition, when I shuffled columns I got diffrent results, for example, usin...
fast 2 Jahre vor | 1 Antwort | 0
1
AntwortFrage
Low LSTM Accuracy in Speech Recognition
Hello everyone, I am applying LSTM to speech emotion recognition. I have performed feature extraction using MFCC, resulting in a...
fast 2 Jahre vor | 0 Antworten | 0
0
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MATLAB CNN Classification Different Results When Shuffled Columns
Hello everyone, I have applied 1D CNN on speech recognition, when I shuffled columns I got diffrent results, for example, usin...
etwa 2 Jahre vor | 1 Antwort | 0
1
AntwortMATLAB neural network classification different results
@Gediminas@Star Strider@Image Analyst@Greg Heath Hello everyone, I'm facing the same issue on CNN. When I shuffled the feature...
etwa 2 Jahre vor | 0
Frage
Maintaining Consistent CNN Accuracy with Shuffled Features
I applied a Convolutional Neural Network (CNN) to a matrix with dimensions of 50,000 × 39 features, which yielded an accuracy of...
etwa 2 Jahre vor | 1 Antwort | 0
1
AntwortFrage
Optimizing 1D CNN-Based Feature Selection
Hello everyone, I used a 1D CNN on a matrix of size 50000 × 39 and achieved 90% accuracy. Subsequently, I applied feature selec...
etwa 2 Jahre vor | 1 Antwort | 0
1
AntwortFrage
Implementing speech emotion recognition using CNN
Hello everyone, I'm working on speech emotion recognition. I have a training matrix of size 60,000 x 39 and a label matrix of si...
etwa 2 Jahre vor | 2 Antworten | 0
