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International Journal of Speech Technology

Erschienen in:

04.10.2016

Spectral analysis of infant cries and adult speech

Erschienen in: International Journal of Speech Technology | Ausgabe 4/2016

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Abstract

In this paper, spectrographic analysis of the infant cries is reported. For the spectrographic analysis of the infant cries ten different cry modes are used to analyze differences in different pathological cries. A comparison of spectrograms of the adult speech signal and infant cry signals is given. Based on differences in the distribution of energy in the spectrograms, energy-based features are calculated from the short-time Fourier transform (STFT) of the adult speech and infant cry signals. The classification performance of these features is obtained using support vector machine (SVM) classifier and it is observed that the energy distribution in 0–1 kHz range is promising feature in the classification of adult speech and infant cries and the classification accuracy achieved with this feature is 98.22 %. On the contrary, it was observed that it is very difficult to classify adult speech and infant cries using the energy distribution in 1–3 kHz.

Vorheriger Artikel English lexical stress produced by native (L1) Bengali speakers compared to native (L1) English speakers: an acoustic study

Nächster Artikel Word sense disambiguation for Arabic text using Wikipedia and Vector Space Model

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Titel: Spectral analysis of infant cries and adult speech
Publikationsdatum: 04.10.2016
Erschienen in: International Journal of Speech Technology / Ausgabe 4/2016
Print ISSN: 1381-2416
Elektronische ISSN: 1572-8110
DOI: https://doi.org/10.1007/s10772-016-9375-z

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