Abstract / truncated to 115 words (read the full abstract)

The narrowband frequency range of telephone speech signals originally caused by former analog transmission techniques still leads to frequent acoustical limitations in today’s digital telephony systems. It provokes muffled sounding phone calls with reduced speech intelligibility and quality. By means of artificial speech bandwidth extension approaches, missing frequency components can be estimated and reconstructed. However, the artificially extended speech bandwidth typically suffers from annoying artifacts. Particularly susceptible to this are the fricatives /s/ and /z/. They can hardly be estimated based on the narrowband spectrum and are therefore easily confusable with other phonemes as well as speech pauses. This work takes advantage of phonetic a priori knowledge to optimize the performance of artificial bandwidth extension. ... toggle 4 keywords

speech processing telephone signals artificial bandwidth extension automatic speech recognition


Bauer, Patrick Marcel
Institute for Communications Technology, Technical University Braunschweig
Publication Year
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Oct. 9, 2017

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