Results 11 to 20 of about 162 (83)
Multi-Input Speech Emotion Recognition Model Using Mel Spectrogram and GeMAPS [PDF]
Multi-Input Speech Emotion Recognition Model Using Mel Spectrogram and GeMAPSThe existing research on emotion recognition commonly uses mel spectrogram (MelSpec) and Geneva minimalistic acoustic parameter set (GeMAPS) as acoustic parameters to learn the audio features. MelSpec can represent the time-series variations of each frequency but cannot manage multiple types of audio features.
Okada, Yoshifumi +9 more
openaire +2 more sources
SpeechDETECT: an explainable automated speech processing pipeline for early detection of neurological and health changes. [PDF]
Health Inf Sci SystBackground Early detection of cognitive impairment remains a critical public health challenge. While biomarkers such as neuroimaging and cerebrospinal fluid analyses offer high sensitivity, their limited accessibility hampers ...
Zolnoori M +9 more
europepmc +2 more sources
A description of the acoustic parameters of the GeMAPS as discussed in Eyben et al. [39].
, 2022 A description of the acoustic parameters of the GeMAPS as discussed in Eyben et al. [39].
Mattias Ekberg (11919653) +3 more
core +2 more sources
Evidence-Based Complementary and Alternative Medicine, Volume 2022, Issue 1, 2022., 2022 Over the past few decades, the rate of diagnosing depression and mental illness among youths in both genders has been emerging as a challenging issue in the present society. Adequate numbers of cases that have been prevailing had unheard of symptoms linked to mental depression that are able to be detected using their voice recordings and their messages
R. Punithavathi +6 more
wiley +1 more source
Security and Communication Networks, Volume 2022, Issue 1, 2022., 2022 Human emotion detection is necessary for social interaction and plays an important role in our daily lives. Artificial intelligence research is rising, focusing on automated emotion detection. The capability to identify the emotion, which is considered one of the traits of emotional intelligence, is a component of human intelligence. Although the study
Suhail H. Serbaya, Mukesh Soni
wiley +1 more source
ExpressGesture: Expressive gesture generation from speech through database matching
Computer Animation and Virtual Worlds, Volume 32, Issue 3-4, June-July 2021., 2021 We present a system for automatic gesture generation from speech audio, together with a database of over 23,000 motion‐captured gestures. Using a hybrid approach of machine learning and database‐sampling, our system guarantees defined gesture form. Our system selects individual gestures based on expressive gesture characteristics that can be estimated ...
Ylva Ferstl +2 more
wiley +1 more source
On The Differences Between Song and Speech Emotion Recognition: Effect of Feature Sets, Feature Types, and Classifiers [PDF]
, 2020 In this paper, we evaluate the different features sets, feature types, and classifiers on both song and speech emotion recognition. Three feature sets: GeMAPS, pyAudioAnalysis, and LibROSA; two feature types: low-level descriptors and high-level ...
Atmaja, Bagus Tris, Akagi, Masato
core +1 more source
Automated assessment of psychiatric disorders using speech: A systematic review
Laryngoscope Investigative Otolaryngology, Volume 5, Issue 1, Page 96-116, February 2020., 2020 Abstract Objective There are many barriers to accessing mental health assessments including cost and stigma. Even when individuals receive professional care, assessments are intermittent and may be limited partly due to the episodic nature of psychiatric symptoms.
Daniel M. Low +2 more
wiley +1 more source
eGeMAPS of Estonian advertisement styles
, 2023 Results of the eGEMAPS analysis of one Estonian commercial advertisement text performed by 94 female and 122 male spokespeople in two performance styles: calm and energetic (wav, 44.1 kHz, 16 bit, mono, average length of advertisement 20 sec).
Jaan Pajupuu (14057501) +1 more
core +1 more source
Acoustic characterization and perceptual analysis of the relative importance of prosody in speech of people with Down syndrome [PDF]
, 2018 There are many studies that identify important deficits in the voice production of people with Down syndrome. These deficits affect not only the spectral domain, but also the intonation, accent, rhythm and speech rate.
Corrales Astorgano, Mario +5 more
core +1 more source