Audio Signal Processing Using Fractional Linear Prediction

Audio Signal Processing

Warped linear prediction (WLP) in speech and audio processing

In this paper linear prediction process is applied to frequency warped signals. The warping is realized by using orthonormal FAM' functions. The general formulation of WLP is given and effective realizations with allpass filters are studied. The application of auditory WLP to speech coding and speech recognition has given good results.

Python For Audio Signal Processing

This paper discusses the use of Python for developing audio signal processing applications. Overviews of Python language, NumPy, SciPy and Matplotlib are given, which together form a powerful platform for scientific computing. We then show how SciPy was used to create two audio programming libraries, and describe ways that Python can be integrated with the SndObj library and Pure Data, two exis...

Variance Reduction of Prediction Error Using Fractional Digital Differentiation : Application to Ecg Signal Processing

This paper presents a prediction error variance reduction procedure based on fractional digital differentiation with negative order. This reduction is achieved by increasing correlation in the signals. Applications to ECG signals show that savings of more than one bit per residual signal sample can be attained. Keywords—Linear prediction, fractional differentiation, ECG signal.

Linear prediction of audio signals

Linear prediction (LP) is a valuable tool for speech analysis and coding, due to the efficiency of the autoregressive model for speech signals. In audio analysis and coding, the sinusoidal model is much more popular, which is partly due to the poor performance of audio LP. By examining audio LP from a spectral estimation point of view, we observe that the distribution of the audio signal’s domi...