Title :
Biologically plausible speech recognition using spike-based phase locking cues
Author :
Uysal, Ismail ; Harris, John G.
Author_Institution :
Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
Abstract :
A biologically plausible algorithm is proposed for phoneme recognition that makes use of spikes for computation. The prototype system is demonstrated on voiced phonemes and shows competitive performance with state-of-the-art systems on a vowel dataset in the presence of noise. Using novel phase locking cues, the algorithm performs surprisingly well down to SNR values as low as 5 dB, where the performance of the baseline algorithm used for comparison drops considerably. These results suggest, not only a possible explanation for the extreme noise robustness of human recognition, but also a novel technique for information processing for speech signals with computers.
Keywords :
speech recognition; baseline algorithm; biologically plausible speech recognition; human recognition; information processing; speech signal; spike-based phase locking cues; vowel dataset; Biology computing; Humans; Information processing; Noise robustness; Prototypes; Signal processing; Signal to noise ratio; Speech enhancement; Speech processing; Speech recognition;
Conference_Titel :
Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-3827-3
Electronic_ISBN :
978-1-4244-3828-0
DOI :
10.1109/ISCAS.2009.5117695