Data-Driven $I$–$V$ Feature Extraction for Photovoltaic Modules

Improved MLP structures for data-driven feature extraction for ASR

In this paper, we present our recent progress on multi-layer perceptron (MLP) based data-driven feature extraction using improved MLP structures. Four-layer MLPs are used in this study. Different signal processing methods are applied before the input layer of the MLP. We show that the first hidden layer of a four-layer MLP is able to detect some basic patterns from the time-frequency plane. KLT...

Data-Driven Filter-Bank-based Feature Extraction for Speech Recognition

Selecting good feature is especially important to achieve high speech recognition accuracy. Although the mel-cepstrum is a popular and effective feature for speech recognition, it is still unclear that the filter-bank in the mel-cepstrum is always optimal regardless of speech recognition environments or the characteristics of specific speech data. In this paper, we focus on the data-driven filt...

Feature extraction for voice-driven synthesis

This paper explores the singing voice from an unusual perspective, not as a musical instrument but as a musical controller. A set of spectral processing algorithms extract features form the input voice. These features are categorized in four groups: excitation, vocal tract, voice quality and context. The extracted values are then transmitted as Open Sound Control (OSC) messages in order to be u...

Spatiotemporal Feature Extraction with Data-Driven Koopman Operators

We present a framework for feature extraction and mode decomposition of spatiotemporal data generated by ergodic dynamical systems. Unlike feature extraction techniques based on kernel operators, our approach is to construct feature maps using eigenfunctions of the Koopman group of unitary operators governing the dynamical evolution of observables and probability measures. We compute the eigenv...

Feature Extraction from Visual Data Feature Extraction from Visual Data