Abstract: A network computer system receives request data from computing devices of requesting users in a sub-region of a service area. The system further receives location data from computing devices of drivers operating in the sub-region. Based on the request data and the location data, the system determines a service condition for the sub-region. Based on the service condition indicating that the sub-region is in a driver oversupply state, the system transmits a service instruction to computing devices of a plurality of drivers within the sub-region, the service instruction being associated with a target outside the sub-region and a set of progress conditions. The system then periodically determines, for each driver of the plurality of drivers, an estimated time of arrival (ETA) to the target from a current position of the driver to determine whether the driver is satisfying the set of progress conditions of the service instruction.

Abstract: A method for evaluating performance of a speech enhancement algorithm includes: acquiring a first speech signal including noise and a second speech signal including noise, wherein the first speech signal is acquired from a near-end audio acquisition device close to a sound source, the second speech signal is acquired from a far-end audio acquisition device far from the sound source, and the near-end audio acquisition device is closer to the sound source than the far-end audio acquisition device; acquiring a pseudo-pure speech signal based on the first speech signal and the second speech signal, as a reference speech signal; enhancing the second speech signal by using a preset speech enhancement algorithm, to obtain a denoised speech signal to be tested; and acquiring a correlation coefficient between the reference speech signal and the speech signal to be tested, for evaluating the speech enhancement algorithm.

Abstract: A method for evaluating performance of a speech enhancement algorithm includes: acquiring a first speech signal including noise and a second speech signal including noise, wherein the first speech signal is acquired from a near-end audio acquisition device close to a sound source, the second speech signal is acquired from a far-end audio acquisition device far from the sound source, and the near-end audio acquisition device is closer to the sound source than the far-end audio acquisition device; acquiring a pseudo-pure speech signal based on the first speech signal and the second speech signal, as a reference speech signal; enhancing the second speech signal by using a preset speech enhancement algorithm, to obtain a denoised speech signal to be tested; and acquiring a correlation coefficient between the reference speech signal and the speech signal to be tested, for evaluating the speech enhancement algorithm.