Archives of Acoustics,
31, 4(S), pp. 211-217, 2006
Confronting representative spectral structures of vocal tract pulse responses
Before the resources of a number of ethnic language systems can be confronted, multiple
linguistic procedures must be applied to identify the possible common acoustic features in the
utterances of the language users. There is a clear difference in the articulatory habits characteristic
of the particular languages, which is why significant similarities must be sought in
the oblique fragments of speech that convey the information code (sense) rather than in the
acoustic representation of free speech. The paper discusses methods and results of automatic
classification of selected lexemes of three language systems by confronting their digital representations.
Digital representation includes sets of acoustic parameters as discussed in the
previous OSA papers, which the authors termed as: representative spectral structures of vocal
tract pulse responses. Representative structures... were produced by cepstral smoothing of
averaged acoustic parameters taken from multiple utterances by speakers of different genders
and ages. The paper includes spectrograms of the material used for confrontation and graphic
illustrations of the results. Automatic classification of speech sounds of a pair of lexemes of
two different languages is in fact the process of identifying the percentage proportions of convergent
and divergent energies of lines in a set of parallel elements of both spectral matrixes
being confronted, with time and frequency coordinates.
linguistic procedures must be applied to identify the possible common acoustic features in the
utterances of the language users. There is a clear difference in the articulatory habits characteristic
of the particular languages, which is why significant similarities must be sought in
the oblique fragments of speech that convey the information code (sense) rather than in the
acoustic representation of free speech. The paper discusses methods and results of automatic
classification of selected lexemes of three language systems by confronting their digital representations.
Digital representation includes sets of acoustic parameters as discussed in the
previous OSA papers, which the authors termed as: representative spectral structures of vocal
tract pulse responses. Representative structures... were produced by cepstral smoothing of
averaged acoustic parameters taken from multiple utterances by speakers of different genders
and ages. The paper includes spectrograms of the material used for confrontation and graphic
illustrations of the results. Automatic classification of speech sounds of a pair of lexemes of
two different languages is in fact the process of identifying the percentage proportions of convergent
and divergent energies of lines in a set of parallel elements of both spectral matrixes
being confronted, with time and frequency coordinates.
Keywords:
speech sound, information code, vocal tract, homomorphic analysis, homonymy.
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