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We describe in this paper a code-excited linear predictive coder in which the optimum innovation sequence is selected from a code book of stored sequences to optimize a given fidelity criterion. Each sample of the innovation sequence is filtered sequentially through two time-varying linear recursive filters, one with a long-delay (related to pitch period)(More)
(I had completely forgotten I had written this until I found a reference to it in October 2006. I therefore decided to make it available online. This is theresult of scanning+OCR and still incomplete post-editing. A sequel to this paper is: A. Sloman. On designing a visual system (Towards a Gibsonian computational model of vision). Abstract Some unsolved(More)
In this paper we compare four different pitch tracking algorithms - autocorrelation, cepstrum, harmonic product spectrum, and a new method based on the modulation spectrum - and investigate their fitness for noisy environments. From each tracker, possible &#x0192;<inf>0</inf> candidates in every time window are stored over a 10-frame interval, and the best(More)
Speech analysis and synthesis by linear prediction is based on the assumption that the short-time spectral envelope of speech can be represented by a number of poles. An all-pole representation does not provide an accurate description of speech spectra, particularly for nasals and nasalized sounds. This paper presents a method for characterizing speech in(More)