A DSP-based modular architecture for noise cancellation and speech recognition

The architecture of a low-cost Hardware Building Block (HBB) Board for Signal Processing is presented. An overview of the algorithms to be supported by the HBB is followed by a brief presentation of the low-cost hardware platform based on the TMS320C31, interfacing with a host computer through a PCI bus. A description of the modular solutions based on this board for isolated word speech recognition in noisy environments is also given. Measurements of the real-time performance of the card and several noise-canceling experiments are also shown. Applications of the proposed architecture may be found in the field of speech training, language acquisition, phonetics, and other related fields.