Eric Kathmann
Philips
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Eric Kathmann.
international conference on acoustics, speech, and signal processing | 1995
Rakesh Taori; Robert Johannes Sluijter; Eric Kathmann
This paper presents a new time-domain algorithm for compressing speech signals. Using a novel tool which we will refer to as time weighted average (TWA), a periodically extendable pitch cycle is extracted from the voiced regions in the speech signal. This procedure is carried out every x/sup th/ pitch period. The discarded x-1 pitch periods are recovered using pitch synchronous interpolation (PSI). The computational complexity of the resulting decoder is surprisingly modest and shows reasonable potential of implementation on hardware as primitive as the Intel 8088 /spl mu/-processor. Simulation results show that the reconstruction quality is comparable to G.721.
Philips Journal of Research | 1995
Robert Johannes Sluijter; Friedhelm Wuppermann; Rakesh Taori; Eric Kathmann
An introductory review of some basic speech coding techniques covers the most important properties of speech production and hearing, the ubiquitous techniques of quantization and linear prediction, and a recital of the most important measures of coding performance. In the survey that follows, several standardized speech coding systems reflecting the state of the art in speech coding are discussed in terms of coding method, bit rate, performance, complexity and typical application areas. Major future trends are indicated on the basis of expected future standards. The paper, which primarily deals with narrowband speech coding systems, is concluded by a review of the state of affairs and an outline of the future trends in the area of wideband speech coding.
Journal of the Acoustical Society of America | 2000
Rakesh Taori; Robert Johannes Sluijter; Eric Kathmann
A transmission system contains a speech coder which utilizes a pitch detector that is arranged to select a characteristic auxiliary signal portion from the signal to be coded in order to improve the quality of the pitch detection. The pitch is found by searching in the speech signal for signal portions that correspond to the characteristics auxiliary signal portion and by calculating the time difference between the respective signal portions.
Archive | 1992
Mark Alan Russell; Johannes W. M. Bergmans; Antonius Johannes Petru Bogers; Eric Kathmann
Archive | 1992
Mark Alan Russell; Johannes Wilhelmus Maria Bergmans; Antonius Johannes Petrus Bogers; Eric Kathmann
Archive | 1997
Friedhelm Wuppermann; Eric Kathmann; Robert Johannes Sluijter; Bont Fransiscus Marinus Jozephus De
Archive | 1995
Robert Johannes Sluijter; Eric Kathmann; Rakesh Taori
Archive | 1996
Rabesh Taori; Robert Johannes Sluijter; Eric Kathmann
Archive | 2001
Den Enden Adrianus W. M. Van; Eric Kathmann
Archive | 2000
Mark A Russel; Johannes W. M. Bergmans; Antonius Johannes Petrus Bogers; Eric Kathmann