A Unified Approach to Voice Classification: Leveraging Spectrograms, Mel Spectrograms, and Statistical Features

This study presents a multi-input neural network architecture for voice classification that integrates two parallel convolutional neural networks (CNNs) for spectrogram and Mel spectrogram images, along with a fully connected dense network for six handpicked numerical statistical features from time...

Descrición completa

Detalles Bibliográficos

Principais autores:	Muhammad Talha, Huma Ghafoor, Seung Yeob Nam
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2025-01-01
Series:	IEEE Access
Assuntos:	Voice classification convolutional neural network (CNN) Mel spectrogram spectrogram statistical features
Acceso en liña:	https://ieeexplore.ieee.org/document/11098792/
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!