This paper presents a novel phase reconstruction method (only from a given amplitude
spectrogram) by combining a signal-processing-based approach and a deep neural network …

The phase information was shown useful in fake speech detection. However, the most
common reason why phase-based features are not widely used is phase wrapping. This …

In this paper, we propose a phase reconstruction framework, named Deep Griffin-Lim
Iteration (DeGLI). Phase reconstruction is a fundamental technique for improving the quality …

At present, specific voice control has gradually become an important means for 5G-Internet-
of-Things-aided industrial control systems, such as controlling the operation and adjustment …

As importance of the phase of complex spectrogram has been recognized widely, many
techniques have been proposed for handling it. However, several definitions and …

Speech phase prediction, which is a significant research focus in the field of signal
processing, aims to recover speech phase spectra from amplitude-related features …

This paper presents a two-stage online phase reconstruction framework using causal deep
neural networks (DNNs). Phase reconstruction is a task of recovering phase of the short-time …

Phase retrieval (PR) aims to recover a signal from the magnitudes of a set of inner products.
This problem arises in many audio signal processing applications which operate on a short …

Phase reconstruction, which estimates phase from a given amplitude spectrogram, is an
active research field in acoustical signal processing with many applications including audio …

This paper presents a deep neural network (DNN)-based system for phase reconstruction of
speech signals solely from their magnitude spectrograms. The phase is very sensitive to …