# 0.4 Linear predictive coding in voice conversion

 Page 1 / 1
Using linear predictive coding to change the voice quality of a source speaker to a target.

## Background on linear predictive coding

Linear Predictive Coding (or “LPC”) is a method of predicting a sample of a speech signal based on several previous samples. Similar to the method employed by the cepstrum , we can use the LPC coefficients to separate a speech signal into two parts: the transfer function (which contains the vocal quality) and the excitation (which contains the pitch and the sound). The method of looking at speech as two parts which can be separated is known as the Source Filter Model of Speech .

We can predict that the nth sample in a sequence of speech samples is represented by the weighted sum of the p previous samples:

$\stackrel{^}{s}=\sum _{k=1}^{p}{a}_{k}s\left[n-k\right]$

The number of samples (p) is referred to as the “order” of the LPC. As p approaches infinity, we should be able to predict the nth sample exactly. However, p is usually on the order of ten to twenty, where it can provide an accurate enough representation with a limited cost of computation. The weights on the previous samples (ak) are chosen in order to minimize the squared error between the real sample and its predicted value. Thus, we want the error signal e(n), which is sometimes referred to as the LPC residual, to be as small as possible:

$e\left[n\right]=s\left[n\right]-\stackrel{^}{s}\left[n\right]=s\left[n\right]-\sum _{k=1}^{p}{a}_{k}s\left[n-k\right]$

We can take the z-transform of the above equation:

$E\left(z\right)=S\left(z\right)-\sum _{k=1}^{p}{a}_{k}S\left(z\right){z}^{-k}=S\left(z\right)\left[1-\sum _{k=1}^{p}{a}_{k}{z}^{-k}\right]=S\left(z\right)A\left(z\right)$

Thus, we can represent the error signal E(z) as the product of our original speech signal S(z) and the transfer function A(z). A(z) represents an all-zero digital filter, where the ak coefficients correspond to the zeros in the filter’s z-plane. Similarly, we can represent our original speech signal S(z) as the product of the error signal E(z) and the transfer function 1 / A(z):

$S\left(z\right)=\frac{E\left(z\right)}{A\left(z\right)}$

The transfer function 1/A(z) represents an all-pole digital filter, where the ak coefficients correspond to the poles in the filter’s z-plane. Note that the roots of the A(z) polynomial must all lie within the unit circle to ensure stability of this filter.

The spectrum of the error signal E(z) will have a different structure depending on whether the sound it comes from is voiced or unvoiced. Voiced sounds are produced by vibrations of the vocal cords. Their spectrum is periodic with some fundamental frequency (which corresponds to the pitch). Examples of voiced sounds include all of the vowels. Unvoiced signals, however, do not have a fundamental frequency or a harmonic structure. Instead, they are just white noise.

## Lpc in voice conversion

In speech processing, computing the LPC coefficients of a signal gives us its ak values. From here, we can get the filter A(z) as described above. A(z) is the transfer function between the original signal s[n] and the excitation component e[n]. The transfer function of a speech signal is the part dealing with the voice quality: what distinguishes one person’s voice from another. The excitation component of a speech signal is the part dealing with the particular sounds and words that are produced. In the time domain, the excitation and transfer function are convolved to create the output voice signal. As shown in the figure below, we can put the original signal through the filter to get the excitation component. Putting the excitation component through the inverse filter (1 / A(z)) gives us the original signal back.

We can perform voice conversion by replacing the excitation component from the given speaker with a new one. Since we are still using the same transfer function A(z), the resulting speech sample will have the same voice quality as the original. However, since we are using a different excitation component, the resulting speech sample will have the same sounds as the new speaker.

## Pre-emphasis

In speech processing, a process called pre-emphasis is applied to the input signal before the LPC analysis. During the reconstruction following the LPC analysis, a de-emphasis process is applied to the signal to reverse the effects of pre-emphasis.

Pre- and de- emphasis are necessary because, in the spectrum of a human speech signal, the energy in the signal decreases as the frequency increases. Pre-emphasis increases the energy in parts of the signal by an amount inversely proportional to its frequency. Thus, as the frequency increases, pre-emphasis raises the energy of the speech signal by an increasing amount. This process therefore serves to flatten the signal so that the resulting spectrum consists of formants of similar heights. (Formants are the highly visible resonances or peaks in the spectrum of the speech signal, where most of the energy is concentrated.) The flatter spectrum allows the LPC analysis to more accurately model the speech segment. Without pre-emphasis, the linear prediction would incorrectly focus on the lower-frequency components of speech, losing important information about certain sounds.

Deng, Li and Douglas O”Shaughnessy. Speech Processing: A Dynamic and Optimization-Oriented Approach. Marcel Dekker, Inc: New York. 2003.

Gold, Ben and Nelson Morgan. Speech and Audio Signal Processing: Processing and Perception of Speech and Music. John Wiley and Sons, Inc: New York. 2000.

Lemmetty, Sami. Review of Speech Synthesis Technology. (Master’s Thesis: Helsinki University of Technology) March 1999. (External Link) .

Markel, J.D. and A.H. Gray, Jr. Linear Predition of Speech. Springer-Verlag: Berlin. 1976.

Preparation and Applications of Nanomaterial for Drug Delivery
Application of nanotechnology in medicine
what is variations in raman spectra for nanomaterials
I only see partial conversation and what's the question here!
what about nanotechnology for water purification
please someone correct me if I'm wrong but I think one can use nanoparticles, specially silver nanoparticles for water treatment.
Damian
yes that's correct
Professor
I think
Professor
what is the stm
is there industrial application of fullrenes. What is the method to prepare fullrene on large scale.?
Rafiq
industrial application...? mmm I think on the medical side as drug carrier, but you should go deeper on your research, I may be wrong
Damian
How we are making nano material?
what is a peer
What is meant by 'nano scale'?
What is STMs full form?
LITNING
scanning tunneling microscope
Sahil
how nano science is used for hydrophobicity
Santosh
Do u think that Graphene and Fullrene fiber can be used to make Air Plane body structure the lightest and strongest. Rafiq
Rafiq
what is differents between GO and RGO?
Mahi
what is simplest way to understand the applications of nano robots used to detect the cancer affected cell of human body.? How this robot is carried to required site of body cell.? what will be the carrier material and how can be detected that correct delivery of drug is done Rafiq
Rafiq
if virus is killing to make ARTIFICIAL DNA OF GRAPHENE FOR KILLED THE VIRUS .THIS IS OUR ASSUMPTION
Anam
analytical skills graphene is prepared to kill any type viruses .
Anam
Any one who tell me about Preparation and application of Nanomaterial for drug Delivery
Hafiz
what is Nano technology ?
write examples of Nano molecule?
Bob
The nanotechnology is as new science, to scale nanometric
brayan
nanotechnology is the study, desing, synthesis, manipulation and application of materials and functional systems through control of matter at nanoscale
Damian
Is there any normative that regulates the use of silver nanoparticles?
what king of growth are you checking .?
Renato
What fields keep nano created devices from performing or assimulating ? Magnetic fields ? Are do they assimilate ?
why we need to study biomolecules, molecular biology in nanotechnology?
?
Kyle
yes I'm doing my masters in nanotechnology, we are being studying all these domains as well..
why?
what school?
Kyle
biomolecules are e building blocks of every organics and inorganic materials.
Joe
anyone know any internet site where one can find nanotechnology papers?
research.net
kanaga
sciencedirect big data base
Ernesto
Introduction about quantum dots in nanotechnology
hi
Loga
Got questions? Join the online conversation and get instant answers! By OpenStax By JavaChamp Team By Kimberly Nichols By OpenStax By OpenStax By Rhodes By OpenStax By Sean WiffleBoy By Candice Butts By IES Portal