Detection of vowel segments in noise with ImageNet neural network architectures

Author:

Fabricius René,Šuch Ondrej

Funder

Slovak Academy of Sciences

Publisher

Elsevier BV

Reference24 articles.

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2. Boersma, P., 1993. ACCURATE SHORT-TERM ANALYSIS OF THE FUNDAMENTAL FREQUENCY AND THE HARMONICS-TO-NOISE RATIO OF A SAMPLED SOUND.

3. Cerňak, M., Potard, B., Garner, P., 2015. Phonological vocoding using artificial neural networks. pp. 4844–4848. https://doi.org/10.1109/ICASSP.2015.7178891

4. Speaker identification using vowels features through a combined method of formants, wavelets, and neural network classifiers;Daqrouq;Applied Soft Computing,2014

5. Emotion Classification Using Segmentation of Vowel-Like and Non-Vowel-Like Regions;Deb;IEEE Transactions on Affective Computing PP,2017

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