An architecture-level analysis on deep learning models for low-impact computations
Deep neural networks (DNNs) have made significant achievements in a wide variety of
domains. For the deep learning tasks, multiple excellent hardware platforms provide efficient …
domains. For the deep learning tasks, multiple excellent hardware platforms provide efficient …
Speech signal analysis and enhancement using combined wavelet Fourier transform with stacked deep learning architecture
V Srinivasarao - International Journal of Speech Technology, 2023 - Springer
Speech enhancement is a process of improving the quality and intelligibility of the degraded
speech signal. Various techniques have been demonstrated in the literature employing …
speech signal. Various techniques have been demonstrated in the literature employing …
A novel temporal attentive-pooling based convolutional recurrent architecture for acoustic signal enhancement
Removing background noise from acoustic observations to obtain clean signals is an
important research topic regarding numerous real acoustic applications. Owing to their …
important research topic regarding numerous real acoustic applications. Owing to their …
Causal Signal-Based DCCRN with Overlapped-Frame Prediction for Online Speech Enhancement
The aim of speech enhancement is to improve speech signal quality and intelligibility from a
noisy microphone signal. In many applications, it is crucial to enable processing with small …
noisy microphone signal. In many applications, it is crucial to enable processing with small …
Toward Real-World Voice Disorder Classification
Objective: Voice disorders significantly compromise individuals' ability to speak in their daily
lives. Without early diagnosis and treatment, these disorders may deteriorate drastically …
lives. Without early diagnosis and treatment, these disorders may deteriorate drastically …