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...

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Detalles Bibliográficos

Autores principales:	Muhammad Talha, Huma Ghafoor, Seung Yeob Nam
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2025-01-01
Colección:	IEEE Access
Materias:	Voice classification convolutional neural network (CNN) Mel spectrogram spectrogram statistical features
Acceso en línea:	https://ieeexplore.ieee.org/document/11098792/
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