Statistical properties of an LPC distance measure
نویسندگان
چکیده
Several distance measures have been proposed for comparing sets of LPC coefficients. The most popular one has been the "log likelihood ratio" proposed by Itakura [1]. In this paper we discuss this measure (strictly speaking, a somewhat generalized version of it) from both a theoretical and a practical point of view. We derive its statistical properties both when the reference vector is known and when it is estimated from the data. We also show how these properties are affected by windowing, additive noise, and preemphasis. We present results of extensive simulations in support of the theoretical predictions. Finally, we argue that de Souza's [2] recent criticism of this measure is unjustified.
منابع مشابه
Clustering Posts in Online Discussion Forum Threads
Online discussion forums are considered a challenging repository for data mining tasks. Forums usually contain hundreds of threads which in turn consist of hundreds, or even thousands, of posts. Clustering posts can be used to discover outlier and off-topic posts and would provide better visualization and exploration of online threads.In this paper, we propose the Leader-based Post Clustering (...
متن کاملThe computation and some spectral considerations on line spectrum pairs (LSP)
ln this paper two aspects of Une Spectrum Pair (LSP) representation of speech are investigated: the method of converting Linear Predictive Coding (LPC) coefficients to LSP frequencies and the relationships between LPC spectrum and LSP frequencies. A new approach to LSP extraction is proposed which exploits the interframe redundancy of LSP frequencies in order to ensure, on the average, a low co...
متن کاملEffects of Piperine Pretreatment on Antioxidant Capacity and Spatial Memory Impairment Induced by Local Injection of Lysolecethin in Rat Hippocampus
Background and purpose: Piperine as the main alkaloid of black pepper has antioxidant and neuroprotective properties, so, it is an appropriate candidate to be studied in animal models of multiple sclerosis. This research aimed at investigating the effect of pretreatment with piperine on spatial memory, oxidative stress, and myelin repair gene markers in local demyelination model. Materials and...
متن کاملEfficient vector quantization of LPC parameters at 24 bits/frame
Abstruct-Linear predictive coding (LPC) parameters are widely used in various speech processing applications for representing the spectral envelope information of speech. For low bit rate speech-coding applications, it is important to quantize these parameters accurately using as few bits as possible. Though the vector quantizers are more efficient than the scalar quantizers, their use for accu...
متن کامل