Colloque avec actes et comité de lecture. internationale.International audienceIn this paper we discussed issues related to resampling speech signal at arbitrary frequency by using interpolation methods. The implementation of four resampling methods, 1. direct interpolation, 2. Lagrange interpolation, 3. sine interpolation, and 4. Taylor series, is presented. These methods have been tested with some speech data and various resampling frequencies. The quality of the resampled speech signal is analyzed and evaluated by human listening. The experiment results showed that either for upsampling or downsampling, sine and Lagrange methods generate additive high frequency noise like metal sounds, but the direct and Taylor methods do not present suc...
This paper describes about signal resampling based on polynomial interpolation is reversible for all...
In this paper, we propose a unique approach to enhance speech signals that have been corrupted by no...
One of the main challenges in the Automatic Speech Recognition (ASR) is the noise. The performance o...
Resampling is a necessary step at the interface of systems that require different sampling rates. Se...
There are several different ways to perform sampling rate conversion. Two methods for sampling rate ...
Abstract. In this paper the capacity of non-uniform sampling rate conversion techniques, involving d...
Currently, digital signal processing systems typically assume that the signals are bandlimited. Thi...
Because of the growing importance of mobile telecommunication, the need to enhance the sound pick-up...
The main objective in this thesis is to design optimal samplers, downsamplers and interpolators (hol...
Abstract: Classic interpolators (resamplers) of band-limited signals are based on windowed sinc() fu...
The paper presents an interpolation method that can be used for implementing any sampling rate conve...
The 3rd International Conference on Signal Processing, Beijing, China, 14-18 October 1996In this pap...
We present an algorithm for sound analysis and re-synthesis with local automatic adaptation of time-...
In this paper, we describe a minimal mean square error (MMSE) optimal interpolation filter for discr...
Resampling is an operation to convert a digital speech from a given sampling rate to a different one...
This paper describes about signal resampling based on polynomial interpolation is reversible for all...
In this paper, we propose a unique approach to enhance speech signals that have been corrupted by no...
One of the main challenges in the Automatic Speech Recognition (ASR) is the noise. The performance o...
Resampling is a necessary step at the interface of systems that require different sampling rates. Se...
There are several different ways to perform sampling rate conversion. Two methods for sampling rate ...
Abstract. In this paper the capacity of non-uniform sampling rate conversion techniques, involving d...
Currently, digital signal processing systems typically assume that the signals are bandlimited. Thi...
Because of the growing importance of mobile telecommunication, the need to enhance the sound pick-up...
The main objective in this thesis is to design optimal samplers, downsamplers and interpolators (hol...
Abstract: Classic interpolators (resamplers) of band-limited signals are based on windowed sinc() fu...
The paper presents an interpolation method that can be used for implementing any sampling rate conve...
The 3rd International Conference on Signal Processing, Beijing, China, 14-18 October 1996In this pap...
We present an algorithm for sound analysis and re-synthesis with local automatic adaptation of time-...
In this paper, we describe a minimal mean square error (MMSE) optimal interpolation filter for discr...
Resampling is an operation to convert a digital speech from a given sampling rate to a different one...
This paper describes about signal resampling based on polynomial interpolation is reversible for all...
In this paper, we propose a unique approach to enhance speech signals that have been corrupted by no...
One of the main challenges in the Automatic Speech Recognition (ASR) is the noise. The performance o...