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Glottal source information for pathological voice detection
Automatic methods for the detection of pathological voice from healthy speech can be
considered as potential clinical tools for medical treatment. This study investigates the …
considered as potential clinical tools for medical treatment. This study investigates the …
Speech emotion recognition research: an analysis of research focus
This article analyses research in speech emotion recognition (“SER”) from 2006 to 2017 in
order to identify the current focus of research, and areas in which research is lacking. The …
order to identify the current focus of research, and areas in which research is lacking. The …
Excitation features of speech for speaker-specific emotion detection
In this article, we study emotion detection from speech in a speaker-specific scenario. By
parameterizing the excitation component of voiced speech, the study explores deviations …
parameterizing the excitation component of voiced speech, the study explores deviations …
A speech quality classifier based on tree-cnn algorithm that considers network degradations
Sažetak Many factors can affect the users' quality of experience (QoE) in speech
communication services. The impairment factors appear due to physical phenomena that …
communication services. The impairment factors appear due to physical phenomena that …
Diagnostics of synchronous motor based on analysis of acoustic signals with the use of line spectral frequencies and K-nearest neighbor classifier
A Glowacz - Archives of Acoustics, 2014 - acoustics.ippt.pan.pl
In industrial processes electrical motors are serviced after a specific number of hours, even if
there is a need for service. This led to the development of early fault diagnostic methods …
there is a need for service. This led to the development of early fault diagnostic methods …
Spectrogram-based classification of spoken foul language using deep CNN
Excessive content of profanity in audio and video files has proven to shape one's character
and behavior. Currently, conventional methods of manual detection and censorship are …
and behavior. Currently, conventional methods of manual detection and censorship are …
Non-intrusive speech quality assessment using several combinations of auditory features
Quality estimation of speech is essential for monitoring and maintenance of the quality of
service at different nodes of modern telecommunication networks. It is also required in the …
service at different nodes of modern telecommunication networks. It is also required in the …
Design and implementation of fast spoken foul language recognition with different end-to-end deep neural network architectures
Given the excessive foul language identified in audio and video files and the detrimental
consequences to an individual's character and behaviour, content censorship is crucial to …
consequences to an individual's character and behaviour, content censorship is crucial to …
Non‐intrusive speech quality assessment using multi‐resolution auditory model features for degraded narrowband speech
A multi‐resolution framework using auditory perception‐based wavelet packet transform is
invoked in multi‐resolution auditory model (MRAM) and used for non‐intrusive objective …
invoked in multi‐resolution auditory model (MRAM) and used for non‐intrusive objective …
[PDF][PDF] Study the Influence of Gender and Age in Recognition of Emotions from Algerian Dialect Speech.
H Houari, M Guerti - Traitement du Signal, 2020 - researchgate.net
Accepted: 20 April 2020 Speech emotions Recognition is a very interesting area of research.
In this work, the influence of gender and age on the speech emotions recognition in Algerian …
In this work, the influence of gender and age on the speech emotions recognition in Algerian …