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Hamza


Last seen: 3ヶ月 前 |  2023 年からアクティブ

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質問


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...

11ヶ月 前 | 0 件の回答 | 0

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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...

12ヶ月 前 | 1 件の回答 | 0

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質問


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...

約1年 前 | 2 件の回答 | 0

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質問


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...

約1年 前 | 0 件の回答 | 0

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質問


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...

約1年 前 | 1 件の回答 | 0

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質問


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...

約1年 前 | 1 件の回答 | 0

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質問


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...

約1年 前 | 1 件の回答 | 1

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質問


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 ...

約1年 前 | 0 件の回答 | 0

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質問


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...

約1年 前 | 1 件の回答 | 0

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質問


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...

約1年 前 | 0 件の回答 | 0

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質問


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...

約1年 前 | 1 件の回答 | 0

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MATLAB 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...

約1年 前 | 0

質問


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...

約1年 前 | 1 件の回答 | 0

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質問


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...

約1年 前 | 1 件の回答 | 0

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質問


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...

約1年 前 | 2 件の回答 | 0

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