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- Intelligent Preprocessing and Classification of Audio Signals
This work focuses on a generic audio detection and classification method that combines hierarchical bimodal segmentation with hybrid pattern classification at different temporal resolutions
- AES Journal Forum » Intelligent Preprocessing and Classification of . . .
An audio processor that integrates intelligent classification and preprocessing algorithms is presented Audio features in the time and frequency domains are extracted and processed prior to classification
- A Comparison of Audio Signal Preprocessing Methods for Deep Neural . . .
We perform comprehensive experiments involving audio preprocessing using different time-frequency representations, logarithmic magnitude compression, frequency weighting, and scaling
- Spatiotemporal audio feature extraction with dynamic memristor-based . . .
The conventional manual preprocessing of audio signals is shifting toward event-based recognition with convolutional SNNs Despite achieving high accuracy in classification, the efficient extraction of spatiotemporal features from audio events continues to be a substantial challenge
- 國立陽明交通大學機構典藏：Intelligent preprocessing and classification of audio signals
An audio processor that integrates intelligent classification and preprocessing algorithms is presented Audio features in the time and frequency domains are extracted and processed prior to classification
- Research on Intelligent Recognition and Classification Algorithm of . . .
In this paper, a single classifier of SVM, KNN, ANN, and ID3 is used to classify audio signals, and the classification accuracy of audio signals before and after processing is compared
- Multi Label Sound Classification using Deep Learning Models
This study focuses on the application of Convolutional Neural Networks (CNN) and combined LSTM (Long Short-Term Memory) and GRU (Gated Recurrent unit) models for instrument classification from audio signals, contributing to intelligent audio processing systems
- Research on Audio Scene Classification Method Based on Deep Learning . . .
We constructed classification models based on convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to extract features from environmental audio signals and make judgments on complex scenes
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