Second International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2001)
Many problems related to analysis and recognition of sound signals are characterized
by the fact that finding the proper analysis rule or the proper recognition algorithm is very
difficult. In addition the signal analysis methods and the methods of its recognition must be
strictly adapted to the specific features of the particular task considered. It is worth noticing,
that the situation is essentially different from the one encountered in the sound processing.
The method of low- and high-pass filtering, compression techniques or algorithms of spectral
transformations for a sound signal do not actually depend on the type of signal or the purpose
for which it is being registered and processed. Therefore in the field of sound signal
processing an enormous progress has been achieved, and the elaborated methods are to a high
degree universal. The effect is additionally enhanced by the availability of affordable [lowcost]
and convenient DSP technique. On the contrary in the tasks of sound signals analysis
and processing the progress is much slower and the unification of methods and
standardization of algorithms encounters considerable difficulties. The main source of these
difficulties is the fact that in almost every task of signal analysis the features to be extracted
and the required signal parameters are different, they are strongly dependent on the specific
task being solved and they are expected to provide answers for different questions. Similarly
in the tasks of sound signal recognition the criteria and goals of their classification can be
very different - even for the same signal types.
Yet, the approach unification in the above mentioned field is strongly recommended, because it enables[promotes] more cost-effective and faster development of the required solutions for particular problems. It seems that in the field of analysis and recognition of sound signals a very promising direction in the search for such unification, and the universal solutions which might lead to it, are the methods used in the artificial intelligence research.
Bibliographic reference. Izworski, Andrzej (2001): "Speech processing and recognition using artificial intelligence methods", In MAVEBA-2001, 228-229.