Digitale Systeme für Stimme und Sprache

Neu: smartENDOSTROBO
Stroboskopie/Endoskopie

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Empfohlene Bücher Stimme-Sprache-lingWAVES


WEVOSYS
Remote Support
WEVOSYS Remote Support

lingWAVES Spectrograhy Realtime

karo lingWAVES module overview

lingWAVES voice spectrography realtime

Real-time spectrography: The spectrogram display shows the spectrum of a current voice signal and gives real-time biological feedback. The user gets the immediate visual responce to changes in the voice and vocal parameters.

With a sound spectrographic examination, the fine structure of a patient’s voice can be analysed. Comparable to the light-breaking function of a prism, the sound signal is divided into its component frequencies. The spectrographic display contains information on characteristic voice features, like e.g. voice performance range, the fundamental frequency (voice pitch), the formant structures of vocalic sounds ([a], [e], [i], [o], [u]) and the proportion of noise in the voice signal. For the analysis display, select a frequency range from 0-20 kHz, which is corresponding to the human voice range.

In a spectrogram, the horizontal axis shows positive time towards the right; the vertical axis represents the frequencies. The colors show the existence of a certain frequency whereas the color tones represent the grade of peak intensity for a given frequency. Characteristic features of a vocalic spectrum are e.g. color bars (frequency ranges with a high intensity), which are also known as “formants”. Formants help the ear to recognize different vowel qualities. The picture on the right shows an example of common frequency structures of the vocalic sounds [a], [e], [i], [o], [u].

With the real time spectrograph, a speech recording can be displayed as a spectrogram in real time. Thus, it provides a good “biological feedback” of the voice. Voice changes during the course of a therapy session are made visible. Therefore, the real time spectrograph can be a great support for the therapy and treatment of your patients.

karo lingWAVES module overview