This paper presents a method of temporal decomposition (TD) for line spectral frequency (LSF) parameters, called "Modified Restricted Temporal Decomposition" (MRTD), and its application to low rate speech coding. The LSF parameters have not been used for TD due to the stability problems in the linear predictive coding (LPC) model. To overcome this deficiency, a refinement process is applied to the event vectors in the proposed TD method to preserve their LSF ordering property. Meanwhile, the restricted second order TD model, where only two adjacent event functions can overlap and all event functions at any time sum up to one, is utilized to reduce the computational cost of TD. In addition, based on the geometric interpretation of TD the MRT...
The Line Spectrum Pair (LSP) parameters have been established as one of the most efficient methods f...
Speech enhancement in strong noise condition is a challenging problem. Low-rank and sparse matrix de...
Line Spectral Frequencies (LSF) provide an alternate parameterization of the analysis and synthesis ...
Temporal decomposition (TD) is an effective technique to compress the spectral information of speech...
This paper proposes a novel algorithm for temporal decomposition (TD) of speech, called `Limited Err...
In this paper, we present a restricted temporal decomposition method for LSF parameters. The event v...
A dynamic programming-based optimization strategy for a temporal decomposition (TD) model of speech ...
In this paper a new approach to Temporal Decomposition (TD) of speech, called Spectral Stability Bas...
In this paper, we present a restricted temporal decomposition method for LSF parameters. The event v...
Aims of voice transformation are to change styles of given utterances. Most voice transformation met...
The challenge of speech modification is to flexibly modify the speech without degrading speech quali...
The challenge of speech modification is to flexibly modify the speech without degrading speech quali...
The most important advantage of HMM-based TTS is its highly intelligible. However, speech synthesize...
Manipulating spectral structure often leads to degradation of speech quality, which is mainly due to...
This work investigates the application of spectral and temporal speech processing algorithms develop...
The Line Spectrum Pair (LSP) parameters have been established as one of the most efficient methods f...
Speech enhancement in strong noise condition is a challenging problem. Low-rank and sparse matrix de...
Line Spectral Frequencies (LSF) provide an alternate parameterization of the analysis and synthesis ...
Temporal decomposition (TD) is an effective technique to compress the spectral information of speech...
This paper proposes a novel algorithm for temporal decomposition (TD) of speech, called `Limited Err...
In this paper, we present a restricted temporal decomposition method for LSF parameters. The event v...
A dynamic programming-based optimization strategy for a temporal decomposition (TD) model of speech ...
In this paper a new approach to Temporal Decomposition (TD) of speech, called Spectral Stability Bas...
In this paper, we present a restricted temporal decomposition method for LSF parameters. The event v...
Aims of voice transformation are to change styles of given utterances. Most voice transformation met...
The challenge of speech modification is to flexibly modify the speech without degrading speech quali...
The challenge of speech modification is to flexibly modify the speech without degrading speech quali...
The most important advantage of HMM-based TTS is its highly intelligible. However, speech synthesize...
Manipulating spectral structure often leads to degradation of speech quality, which is mainly due to...
This work investigates the application of spectral and temporal speech processing algorithms develop...
The Line Spectrum Pair (LSP) parameters have been established as one of the most efficient methods f...
Speech enhancement in strong noise condition is a challenging problem. Low-rank and sparse matrix de...
Line Spectral Frequencies (LSF) provide an alternate parameterization of the analysis and synthesis ...