Identifying mild cognitive impairment and mild Alzheimer's disease based on spontaneous speech using ASR and linguistic features
Alzheimer's disease (AD) is a neurodegenerative disorder that develops for years before
clinical manifestation, while mild cognitive impairment is clinically considered as a …
clinical manifestation, while mild cognitive impairment is clinically considered as a …
[PDF][PDF] DNN-based feature extraction and classifier combination for child-directed speech, cold and snoring identification
In this study we deal with the three sub-challenges of the Interspeech ComParE Challenge
2017, where the goal is to identify child-directed speech, speakers having a cold, and …
2017, where the goal is to identify child-directed speech, speakers having a cold, and …
[PDF][PDF] Using the fisher vector representation for audio-based emotion recognition
G Gosztolya - Acta Polytechnica Hungarica, 2020 - real.mtak.hu
Automatically determining speaker emotions in human speech is a frequently studied task,
where various techniques have been employed over the years. An efficient method is to …
where various techniques have been employed over the years. An efficient method is to …
[PDF][PDF] General utterance-level feature extraction for classifying crying sounds, atypical & self-assessed affect and heart beats
In the area of computational paralinguistics, there is a growing need for general techniques
that can be applied in a variety of tasks, and which can be easily realized using standard …
that can be applied in a variety of tasks, and which can be easily realized using standard …
Posterior-thresholding feature extraction for paralinguistic speech classification
G Gosztolya - Knowledge-Based Systems, 2019 - Elsevier
The standard approach for handling computational paralinguistic speech tasks is to extract
several thousand utterance-level features from the speech excerpts, and use machine …
several thousand utterance-level features from the speech excerpts, and use machine …
[PDF][PDF] Using the fisher vector approach for cold identification
EL José Vicente, G Gosztolya - Acta Cybernetica, 2021 - real.mtak.hu
In this paper, we present a computational paralinguistic method for assessing whether a
person has an upper respiratory tract infection (ie cold) using their speech. Having a system …
person has an upper respiratory tract infection (ie cold) using their speech. Having a system …
Predicting a cold from speech using fisher vectors; svm and xgboost as classifiers
Screening a cold may be beneficial in the sense of avoiding the propagation of it. In this
study, we present a technique for classifying subjects having a cold by using their speech. In …
study, we present a technique for classifying subjects having a cold by using their speech. In …
Estimating the degree of conflict in speech by employing Bag-of-Audio-Words and Fisher Vectors
G Gosztolya - Expert Systems with Applications, 2022 - Elsevier
The automatic detection of conflict situations from human speech has several straightforward
applications such as the surveillance of public spaces, providing feedback about employees …
applications such as the surveillance of public spaces, providing feedback about employees …
DNN-based feature extraction for conflict intensity estimation from speech
Over past few years, there has been an increasing need to extract nonlinguistic information
from audio sources. This trend has created a new area in speech technology known as …
from audio sources. This trend has created a new area in speech technology known as …
Identification of Subjects Wearing a Surgical Mask from Their Speech by Means of X-vectors and Fisher Vectors
JV Egas-López, G Gosztolya - International Conference on Modeling …, 2022 - Springer
This paper addresses the classification of speech recorded from subjects while wearing a
surgical mask. Here, we employ two different types of feature extraction methods: the x …
surgical mask. Here, we employ two different types of feature extraction methods: the x …