Voice pathology detection by using the deep network architecture
H Ankışhan, SÇ İnam - Applied Soft Computing, 2021 - Elsevier
Pathological voice disorders are among the conditions affecting negatively our daily life. The
aim of this study is to introduce the new feature vector in the hybrid axis and multi-model in …
aim of this study is to introduce the new feature vector in the hybrid axis and multi-model in …
Reconstruction of phonated speech from whispers using formant-derived plausible pitch modulation
Whispering is a natural, unphonated, secondary aspect of speech communications for most
people. However, it is the primary mechanism of communications for some speakers who …
people. However, it is the primary mechanism of communications for some speakers who …
A pathological multi-vowels recognition algorithm based on LSP feature
T Zhang, Y Wu, Y Shao, M Shi, Y Geng, G Liu - IEEE Access, 2019 - ieeexplore.ieee.org
At present, pathological voice recognition is mainly based on the classification of
pathological voice. However, almost all the researches are based on the single …
pathological voice. However, almost all the researches are based on the single …
Super-audible voice activity detection
IV McLoughlin - IEEE/ACM Transactions on Audio, Speech …, 2014 - ieeexplore.ieee.org
In this paper, reflected sound of frequency just above the audible range is used to detect
speech activity. The active signal used is inaudible to humans, readily generated by the …
speech activity. The active signal used is inaudible to humans, readily generated by the …
Automated assessment of glottal dysfunction through unified acoustic voice analysis
This paper uses the recent glottal flow model for iterative adaptive inverse filtering to analyze
recordings from dysfunctional speakers, namely those with larynx-related impairment such …
recordings from dysfunctional speakers, namely those with larynx-related impairment such …
Reconstruction of pitch for whisper-to-speech conversion of Chinese
J Li, IV McLoughlin, Y Song - The 9th International Symposium …, 2014 - ieeexplore.ieee.org
Whispers are a common and necessary secondary vocal communications mechanism for
natural human-to-human dialogue. They are also the primary communications mechanism …
natural human-to-human dialogue. They are also the primary communications mechanism …
Mouth state detection from low-frequency ultrasonic reflection
IV McLoughlin, Y Song - Circuits, Systems, and Signal Processing, 2015 - Springer
This paper develops, simulates and experimentally evaluates a novel method based on non-
contact low frequency (LF) ultrasound which can determine, from airborne reflection …
contact low frequency (LF) ultrasound which can determine, from airborne reflection …
Deep Learning Based Multi Modal Approach for Pathological Sounds Classification
H Ankişhan, A Koçoğlu - 2020 28th Signal Processing and …, 2020 - ieeexplore.ieee.org
Automatic detection of voice disorders is very important because it makes the diagnosis
process simpler, cheaper and less time consuming. In the literature, there are many studies …
process simpler, cheaper and less time consuming. In the literature, there are many studies …
[PDF][PDF] A Pathological Multi-Vowels Recognition Algorithm Based on LSP Feature
Y GENG, G LIU - researchgate.net
At present, pathological voice recognition is mainly based on the classification of
pathological voice. However, almost all the researches are based on the single …
pathological voice. However, almost all the researches are based on the single …