Results 211 to 220 of about 86,691 (269)

FRACTAL MODELING OF SPEECH SIGNALS

Fractals, 1994
In this paper, we present a method for speech signal analysis and synthesis based on IFS theory. We consider a speech signal as the graph of a continuous function whose irregularity, measured in terms of its local Hölder exponents, is arbitrary. We extract a few remarkable points in the signal and perform a fractal interpolation between them using a ...
Levy Vehel, Jacques, Khalid, Daoudi, Lutton, Evelyne   +2 more
openaire   +3 more sources

Parameteric coding of speech signals

2009 International Conference on Ultra Modern Telecommunications & Workshops, 2009
In this paper an FS1015 LPC coder has been designed using Matlab to produce intelligible speech. This paper focuses on the different methods of implementation and compared to determine, which gives the best performance. The coder has been tested on Hindi.
Vivek Kumar Sehgal, Shilpy Arora, Sahil Jain, Shantanu Agarwal, Ujjawal Khandelwal, Karan Jain   +5 more
openaire   +1 more source

The Influence of Azimuth on Speech Signals

Acta Oto-Laryngologica, 1963
The aim of the investigation was to study how speech signals are influenced by the angle of incidence of the sound towards the head, i.e. azimuth. The study was made by means of an artificial head with condenser microphones at the site of the eardrums. Speech signals were recorded via these microphones and were then subjected to spectrographic analysis.
B, NORDLUND, B, FRITZELL
openaire   +2 more sources

On the automatic segmentation of speech signals

ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
For large vocabulary and continuous speech recognition, the sub-word-unit-based approach is a viable alternative to the whole-word-unit-based approach. For preparing a large inventory of subword units, an automatic segmentation is preferrable to manual segmentation as it substantially reduces the work associated with the generation of templates and ...
Torbjørn Svendsen, Frank K. Soong
openaire   +1 more source

Mutual information and the speech signal

Interspeech 2007, 2007
Mutual information is commonly used in speech processing in the context of statistical mapping. Examples are the optimization of speech or speaker recognition algorithms, the computation of performance bounds on such algorithms, and bandwidth extension of narrow-band speech signals.
Mattias Nilsson 0002, W. Bastiaan Kleijn
openaire   +1 more source

Characterization of attractors in speech signals

Biosystems, 1997
It is shown that speech signals can have attractors with fractal dimension. A method for estimating this dimension is given. The existence of this attractor suggests that statistical models for speech may be inappropriate. Moreover, the dimension of this attractor is a lower bound on the order of a linear prediction model.
openaire   +2 more sources

Digital Representations of Speech Signals

Proceedings of the IEEE, 1975
This paper presents several digital signal processing methods for representing speech. Included among the representations are simple waveform coding methods; time domain techniques; frequency domain representations; nonlinear or homomorphic methods; and finaIly linear predictive coding techniques.
R.W. Schafer, L.R. Rabiner
openaire   +1 more source

An initial segmentation of the speech signal

ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
An algorithm the aim of which is detection of fundamental classes of the speech signal of the Polish language is described. This algorithm has been designed so as it can detect quickly and at small expense as many classes as possible. Five classes are calculated at present using the following parameters : distances between zero up-crossings, signal ...
openaire   +1 more source

Signal Preprocessing for Speech Recognition

Automation and Remote Control, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Chaotic encryption of speech signals

International Journal of Speech Technology, 2011
This paper introduces a speech encryption approach, which is based on permutation of speech segments using chaotic Baker map and substitution using masks in both time and transform domains. Two parameters are extracted from the main key used in the generation of mask.
Emad Mosa, Nagy Wadie Messiha, Osama Zahran, Fathi E. Abd El-Samie   +3 more
openaire   +1 more source