Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification
BS Atal - the Journal of the Acoustical Society of America, 1974 - pubs.aip.org
Several different parametric representations of speech derived from the linear prediction
model are examined for their effectiveness for automatic recognition of speakers from their
voices. Twelve predictor coefficients were determined approximately once every 50 msec
from speech sampled at 10 kHz. The predictor coefficients and other speech parameters
derived from them, such as the impulse response function, the autocorrelation function, the
area function, and the cepstrum function were used as input to an automatic speaker …
model are examined for their effectiveness for automatic recognition of speakers from their
voices. Twelve predictor coefficients were determined approximately once every 50 msec
from speech sampled at 10 kHz. The predictor coefficients and other speech parameters
derived from them, such as the impulse response function, the autocorrelation function, the
area function, and the cepstrum function were used as input to an automatic speaker …