Glottal source processing: From analysis to applications
نویسندگان
چکیده
منابع مشابه
Glottal source processing: From analysis to applications
The great majority of current voice technology applications rely on acoustic features, such as the widely used MFCC or LP parameters, which characterize the vocal tract response. Nonetheless, the major source of excitation, namely the glottal flow, is expected to convey useful complementary information. The glottal flow is the airflow passing through the vocal folds at the glottis. Unfortunatel...
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This experimental study looks at the problem of pathological disorders analysis from speech signals. Knowing that the vocal tract pathologies provide acoustic changes commonly called dysphonia. In particular, laryngeal pathologies have an effect on the larynx and vocal cords. When regarding to the speech production model, source-filter, the impact is even more apparent in the glottal source. Ou...
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The spectral study of the glottal excitation has traditionally been based on a single time-domain mathematical model of the signal, and the spectral dependence on its time domain parameters. Opposite to this approach, in this work the two most widely used time domain models have been studied jointly, namely the KLGLOTT88 and the LF models. Their spectra are analyzed in terms of their dependence...
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The effectiveness of glottal source analysis is known to be dependent on the phonetic properties of its concomitant supraglottal features. Phonetic classes like nasals and fricatives are particularly problematic. Their acoustic characteristics, including zeros in the vocal tract spectrum and aperiodic noise, can have a negative effect on glottal inverse filtering, a necessary pre-requisite to g...
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From artificial voices in GPS to automatic systems of dictation, from voice-based identity verification to voice pathology detection, speech processing applications are nowadays omnipresent in our daily life. By offering solutions to companies seeking for efficiency enhancement with simultaneous cost saving, the market of speech technology is forecast to be particularly promising in the next ye...
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ژورنال
عنوان ژورنال: Computer Speech & Language
سال: 2014
ISSN: 0885-2308
DOI: 10.1016/j.csl.2014.03.003