Results 121 to 130 of about 8,338,200 (223)
ESTVocoder: An Excitation-Spectral-Transformed Neural Vocoder Conditioned on Mel Spectrogram
This paper proposes ESTVocoder, a novel excitation-spectral-transformed neural vocoder within the framework of source-filter theory. The ESTVocoder transforms the amplitude and phase spectra of the excitation into the corresponding speech amplitude and phase spectra using a neural filter whose backbone is ConvNeXt v2 blocks.
Xiao-Hang Jiang +4 more
openaire +3 more sources
Gender Recognition Based on the Stacking of Different Acoustic Features
Applied SciencesA speech signal can provide various information about a speaker, such as their gender, age, accent, and emotional state. The gender of the speaker is the most salient piece of information contained in the speech signal and is directly or indirectly used ...
Ergün Yücesoy
doaj +1 more source
COPD Severity Classification from Respiratory Sounds Using Mel-Spectrogram-Based Transfer Learning
Accurate and rapid classification of Chronic Obstructive Pulmonary Disease (COPD) severity is highly important for computer-aided diagnosis systems and digital health applications.
Fatih Kuşçu
core +1 more source
Age Prediction from Korean Speech Data Using Neural Networks with Diverse Voice Features
Applied SciencesA person’s voice serves as an indicator of age, as it changes with anatomical and physiological influences throughout their life. Although age prediction is a subject of interest across various disciplines, age-prediction studies using Korean voices are ...
Hayeon Ku +4 more
doaj +1 more source
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Discrete audio representation, aka audio tokenization, has seen renewed interest driven by its potential to facilitate the application of text language modeling approaches in audio domain. To this end, various compression and representation-learning based tokenization schemes have been proposed.
Krishna C. Puvvada +4 more
openaire +2 more sources
Marine Mammal Call Classification Using a Multi-Scale Two-Channel Fusion Network (MT-Resformer)
Journal of Marine Science and EngineeringThe classification of high-frequency marine mammal vocalizations often faces challenges due to the limitations of acoustic features, which are sensitive to mid-to-low frequencies but offer low resolution in high-frequency ranges.
Xiang Li +6 more
doaj +1 more source
Análise da competitividade do setor de mel: uma aplicação de caso da Nutrisempre – Itajaí/SC [PDF]
, 2009 TCC (graduação) - Universidade Federal de Santa Catarina. Centro Sócio-Econômico. Economia.O presente estudo tem como objetivo analisar o comportamento da apicultura sob a ótica da competitividade.
Hatada, Talita Leite
core
Multi-Label Emotion Recognition of Korean Speech Data Using Deep Fusion Models
Applied SciencesAs speech is the most natural way for humans to express emotions, studies on Speech Emotion Recognition (SER) have been conducted in various ways However, there are some areas for improvement in previous SER studies: (1) while some studies have performed
Seoin Park +3 more
doaj +1 more source
Estudo do comportamento reológico do mel Apis mellifera da região de Rio do Oeste/SC [PDF]
, 2006 Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia de Alimentos.O objetivo deste trabalho foi avaliar o comportamento reológico a partir da coleta do mel de abelha Apis mellifera ...
Padilha, Antonio César
core
Confusion matrices at the first run of the proposed neural networks used on the mel-spectrogram dataset.
Thanh-Cong Truong (18452213) +2 more
core +1 more source