The design of acoustic parameters for speaker-independent speech recognition
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چکیده
This paper presents a two-stage procedure, based on the Fisher criterion and automatic classi cation trees, for designing acoustic parameters (APs) that target phonetic features in the speech signal. This procedure and a subset of the TIMIT training set were used to develop acoustic parameters for the phonetic features: sonorant, syllabic, strident, palatal, alveolar, labial and velar. Results on a subset of the TIMIT test set show that the developed parameters achieve correct phonetic-feature classi cation rates in the 90 % range with the exception of stopconsonant place of articulation (labial, alveolar and velar) where correct classi cation is about 73 %. Furthermore, it is shown that by basing the acoustic parameters on relative measures (e.g. an acoustic parameter that measures energy in a frequency band relative to energy in the same band at another time instant) the e ect of interspeaker variability (e.g. gender) on the parameters is reduced.
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تاریخ انتشار 1997