Sentence examples for signal processing features from inspiring English sources
A similar work based on DNNs, GMMs, and convolutional neural networks (CNNs) for acoustic modeling and various signal processing features (standard cepstral and filter-bank features, noise-robust features, and MLP features) was presented in [100].
The second step will be extracting signal processing features to train the classifier.
However, modern HAs contain numerous advanced signal processing features, such as dynamic range compression, in order to address changes in loudness perception associated with hearing loss or noise reduction schemes that alleviate speech understanding against background noise.
The method comprises three main steps: signal processing, feature extraction and selection, and classification.
It can extract information about the wall size of workpiece through signal processing, feature extraction and other methods.
Furthermore, this paradigm facilitates an integrated learning framework to train the three key modules in an automatic speech recognition (ASR) system, namely signal processing, feature extraction and acoustic modeling, all altogether in a unified manner.
A complete monitoring cycle including data acquisition, signal-processing, feature extraction, pattern recognition through the artificial neural networks, and online video surveillance, is demonstrated.
Moreover, the present study has an explicit clinical focus, applying clinical outcome protocols and including a variety of modern HAs instead of addressing the effects of manipulating a specific signal-processing feature in a single HA type.
For example, the matching phase is divided into the following steps: data collection, signal processing, biometric feature extraction, and biometric feature input.
Based on the laser-induced visualization technique and various signal processing and feature extraction methods, the entire process of the wave propagation in a non-ideal one-dimensional ABH structure can be visualized and scrutinized.
Wavelet analysis in an effective tool for signal processing and feature extraction.
