In many speech processing applications, the spectral amplitude is the dominant information while the use of phase spectrum is not so widely spread. In this paper, we present an overview on why speech phase spectrum has been neglected in the con-ventional techniques used in different applications including: speech separation/enhancement, automatic speech and speaker recognition and speech synthesis. We proceed with giving high-lights on the recent progress carried out in demonstrating the importance of phase in different applications and how it impacts on the overall performance. The paper is an introduction to the Interspeech 2014 special session phase importance in speech processing applications
Previous single-channel speech enhancement algorithms often em-ploy noisy phase while reconstructing...
© 2018 International Speech Communication Association. All rights reserved. Most frequency domain te...
Previous single-channel speech enhancement algorithms often em-ploy noisy phase while reconstructing...
In this paper we propose a new method for utilising phase information by complementing it with tradi...
The phase of speech signals plays signi cant role in human perception of speech sounds ...
The short-time Fourier transform of a speech signal has two components: the magnitude spectrum and t...
Short-time Fourier transform of speech signal has two components: magnitude spectrum and phase spect...
While the state-of-the-art speech enhancement methods are fo-cused on the modification of the noisy ...
The short-time Fourier transform (STFT) of a speech signal has two components: the magnitude spectru...
Speech processing involves analysis of complex cues in both spectral and temporal domains. This dis...
Abstract—In this paper, we analyze the effects of uncertainty in the phase of speech signals on the ...
Common speech enhancement methods based on the short-time Fourier analysis–modification–synthesis (A...
The current study investigated how amplitude and phase information differentially contribute to spee...
With the advancement of technology, both assisted listening devices and speech communica-tion device...
The Fourier analysis plays a key role in speech signal processing. As a complex quantity, it can be ...
Previous single-channel speech enhancement algorithms often em-ploy noisy phase while reconstructing...
© 2018 International Speech Communication Association. All rights reserved. Most frequency domain te...
Previous single-channel speech enhancement algorithms often em-ploy noisy phase while reconstructing...
In this paper we propose a new method for utilising phase information by complementing it with tradi...
The phase of speech signals plays signi cant role in human perception of speech sounds ...
The short-time Fourier transform of a speech signal has two components: the magnitude spectrum and t...
Short-time Fourier transform of speech signal has two components: magnitude spectrum and phase spect...
While the state-of-the-art speech enhancement methods are fo-cused on the modification of the noisy ...
The short-time Fourier transform (STFT) of a speech signal has two components: the magnitude spectru...
Speech processing involves analysis of complex cues in both spectral and temporal domains. This dis...
Abstract—In this paper, we analyze the effects of uncertainty in the phase of speech signals on the ...
Common speech enhancement methods based on the short-time Fourier analysis–modification–synthesis (A...
The current study investigated how amplitude and phase information differentially contribute to spee...
With the advancement of technology, both assisted listening devices and speech communica-tion device...
The Fourier analysis plays a key role in speech signal processing. As a complex quantity, it can be ...
Previous single-channel speech enhancement algorithms often em-ploy noisy phase while reconstructing...
© 2018 International Speech Communication Association. All rights reserved. Most frequency domain te...
Previous single-channel speech enhancement algorithms often em-ploy noisy phase while reconstructing...