3 accepted papers
In this work, we present a simple deep neural network (DNN)-based regression approach to artificial speech bandwidth extension (ABE) in the frequency domain for estimating missing speech components in the range 4 ... 7 kHz. The upper band (UB) spectral magnitudes are found by first estimating the UB…
In studies on artificial bandwidth extension (ABE), there is a lack of international coordination in subjective tests between multiple methods and languages. Here we present the design of absolute category rating listening tests evaluating 12 ABE variants of six approaches in multiple languages, nam…
Choosing among competing models of collected data is crucial for all sciences. In the last decade there has been an increasing tendency to use Bayesian methods throughout many fields. When assessing the performance of instrumental measures of speech quality, classical measures such as correlation co…