Combined Software/Hardware Implementation of a Filterbank Front-End for Speech Recognition

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filterbank
bandpass filters
soundcard
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Mouchtaris, Athanasios
Cao, Yuan
Khan, Shehzad
Mueller, Paul
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In this paper, a cost-effective implementation of a programmable filterbank front-end for speech recognition is presented. The objective has been to design a real-time bandpass filtering system with a filterbank of 16 filters, with analog audio input and analog output. The output consists of 16 analog signals, which are the envelopes of the filter outputs of the audio signal. These analog signals are then led to an analog neural computer, which performs the feature-based recognition task. One of the main objectives has been to allow the user to easily change the filter specifications without affecting the remaining system, thus a software implementation of the filterbank was preferred. In addition, the neural computer requires analog input. Therefore, we implemented the filterbank on a PC, with the input A/D and the output D/A performed by the PC stereo soundcard. Since multiple analog outputs are necessary for the neural computer (one for each filter), it then follows that the soundcard output should contain the multiplexed 16 filter outputs, while a hardware module is needed for demultiplexing the soundcard output into the final 16 analog signals.

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2005-11-01
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2023-05-16T22:55:01.000
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Copyright 2005 IEEE. To be published in the Proceedings of the IEEE 2005 Workshop on Signal Processing Systems (SIPS 2005), pages 436-441. Conference URL: http://www.vlsi.ee.upatras.gr/sips2005/ This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
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