Abstract
This paper describes a method for speech feature extraction using morphological signal processing based on the so-called “slope transformation”. The proposed approach has been used to extract the signal upper spectral envelope. Results of experiments of the automatic speech recognition (ASR) and automatic speaker identification (ASI), which were undertaken to check the performance of the presented method, have shown some evident improvements of the effectiveness of recognition of isolated words, especially for women voices. The benefits of using slope transformation was also observed in speaker identification experiment.
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Drgas, S., Dabrowski, A. (2009). Application of Slope Filtering to Robust Spectral Envelope Extraction for Speech/Speaker Recognition. In: Vetulani, Z., Uszkoreit, H. (eds) Human Language Technology. Challenges of the Information Society. LTC 2007. Lecture Notes in Computer Science(), vol 5603. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04235-5_2
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DOI: https://doi.org/10.1007/978-3-642-04235-5_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04234-8
Online ISBN: 978-3-642-04235-5
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