Fourier descriptors for time domain labeling of multi‐speaker voiced/unvoiced stop consonants

Separation of stop consonants

To extract speech from acoustic interference is a challenging problem. Previous systems based on auditory scene analysis principles deal with voiced speech, but cannot separate unvoiced speech. We propose a novel method to separate stop consonants, which contain significant unvoiced signals, based on their acoustic properties. The method employs onset as the major grouping cue; it first detects...

Determining articulator configuration in voiced stop consonants by matching time-domain patterns in pitch periods

A Comparison of Shape Retrieval Using Fourier Descriptors and Short-Time Fourier Descriptors

Shape is one of the primary features in Content Based Image Retrieval (CBIR). Many shape representations and retrieval methods exist. However, most of those methods either do not well capture shape features or are difficult to do normalization (or matching). Among them, methods based Fourier descriptors (FDs) achieve both good representation and easy normalization. FDs is often blamed for not b...

Voice onset times for Turkish stop consonants

In this study, we aimed to determine the average VOT (voice onset time) values of the Turkish stop consonants by using 30 volunteers (15 female and 15 male). For this aim, we measured the VOT values of the six Turkish stops (i.e., /p/, /b/, /t/, /d/, /k/ and /g/), which were uttered by 30 subjects in three times, on wideband spectrograms. At the result of this study, the average VOT values of /...

Fourier descriptors for broken shapes

Fourier descriptors are powerful features for the recognition of two-dimensional connected shapes. In this article, we propose a method to define Fourier descriptors even for broken shapes, i.e. shapes that can have more than one contour. The method is based on the convex hull of the shape and the distance to the closest actual contour point along the convex hull. We define different invariant ...