نتایج جستجو برای: spectro temporal features
تعداد نتایج: 749040 فیلتر نتایج به سال:
Despite several decades of research, automatic speech recognition (ASR) lacks the performance achieved by human listeners. One of the major challenges in ASR is to cope with the immense variability of spoken language, which can be categorized into extrinsic sources (e.g., additive noise) and intrinsic factors (such as speaking rate, style, effort, dialect, and accent). What can we learn from th...
Detection thresholds for spectral and temporal modulations are measured using broadband spectra with sinusoidally rippled profiles that drift up or down the log-frequency axis at constant velocities. Spectro-temporal modulation transfer functions (MTFs) are derived as a function of ripple peak density (omega cycles/octave) and drifting velocity (omega Hz). The MTFs exhibit a low-pass function w...
In this paper, we present Gabor features extraction based on front-end processing using histogram equalization for noisy speech recognition. The proposed features named as Histogram Equalization of Gabor Bark Spectrum features, HeqGBS features are extracted using 2-D Gabor processing followed by a histogram equalization step from spectro-temporal representation of Bark spectrum of speech signal...
Intense ultrashort X-ray pulses produced by modern free-electron lasers (FELs) allow one to probe biological systems, inorganic materials and molecular reaction dynamics with nanoscale spatial and femtoscale temporal resolution. These experiments require the knowledge, and possibly the control, of the spectro-temporal content of individual pulses. FELs relying on seeding have the potential to p...
The successful integration of temporal information is crucial for speech recognition: for example, dynamic time warping and more recently hidden Markov models (HMMs) have been critical in speech recognition technology, and both these methods amount to time-aligning feature vectors to stored word and sentence templates. The correlogram [14] relies on the temporal processing of individual outputs...
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