求一篇关于物业管理的英文 （期刊）论文 要求（多了更好）

Title: Strategic Property Management: How Can Local Authorities Develop a Property Strategy?

Author(s):Virginia Gibson

Journal:Property Management

Year:1994
Volume:12
Issue:3
Page:9 - 14

DOI: 10.1108/02637479410064223

Publisher: MCB UP Ltd

之类的
给你发你邮箱了
记得查收哦~~~~~
记得加分^_^

The necessity for accurate speech recognition systems capable
of handling adverse environments with multiple speakers
has in recent years fueled speech separation and enhancement
research [1, 5, 3, 2, 6, 4]. This has resulted in numerous
techniques with varying degrees of success, most of
which employ multiple microphones [1, 3, 2, 6, 4]. Beamforming
techniques, for example, utilize knowledge about
the direction of the speech source of interest in order to reduce
noise from other directions. The resulting SNR gain
is significant as long as a large number of microphones are
available [6, 4]. Independent Component Analysis (ICA),
on the other hand, is capable of producing large SNR gains
with few microphones [1, 3]. However, ICA has several
limitations that have hampered its application in real-world
situations [1, 6].
Interestingly, both of these popular techniques (as well
as many other speech separation techniques) are similar in
the sense that they are not specifically designed to function
for speech signals. Speech has certain characteristics whose
utilization can provide a significant edge in the de-noising
and signal separation tasks [2, 5].
In this paper, we extend the phase error filtering technique
initially proposed in [2] to include the magnitudes
of the two microphones in addition to the phase information.
This technique transforms two noisy time-domain signals
recorded by two microphones into their time-frequency
(TF) representations. For each time-frequency component
or block, a phase-error measure is derived from the information
in both microphones. Based on this, the time-frequency
block for each microphone is scaled by a masking value between
zero and one. Basically, TF blocks with large phaseerrors
are ‘punished’ by a small mask value (0) and TF
blocks with small phase-errors are ‘rewarded’ by a large
mask value (1).
In the following sections, we formulate four different TF
masks and analyze them theoretically, through SNR-gain
simulations, and digit recognition experiments.

没有