초록 ▼

For tracking multiple, simultaneous voices, predicted tracking is used to follow individual voices through time, even when the voices are very similar in fundamental frequency. An acoustic waveform comprised of a group of voices is submitted to a frequency estimator, which may employ an average magn

For tracking multiple, simultaneous voices, predicted tracking is used to follow individual voices through time, even when the voices are very similar in fundamental frequency. An acoustic waveform comprised of a group of voices is submitted to a frequency estimator, which may employ an average magnitude difference function (AMDF) calculation to determine the voice fundamental frequencies that are present for each voice. These frequency estimates are then used as input values to a recurrent neural network that tracks each of the frequencies by predicting the current fundamental frequency value for each voice present based on past fundamental frequency values in order to disambiguate any fundamental frequency trajectories that may be converging in frequency.

대표청구항 ▼

1. A system for tracking voices in a multiple voice environment, said system comprising:a) a frequency estimator for receiving an acoustic waveform comprised of a plurality of voice components, each of which corresponds to a different individual's voice, and generating a plurality of estimates of fu

1. A system for tracking voices in a multiple voice environment, said system comprising:a) a frequency estimator for receiving an acoustic waveform comprised of a plurality of voice components, each of which corresponds to a different individual's voice, and generating a plurality of estimates of fundamental frequencies in said waveform, each of said fundamental frequencies corresponding to one of said voice components; and b) a neural network for receiving said estimates of said fundamental frequencies from said frequency estimator, and generating an estimate of a trajectory of each of said fundamental frequencies as a function of time.