arXiv subjects

Hao Tang

Publications and source records attributed to Hao Tang.

509 records · Page 29Linked to original sources

arXiv2016

Efficient Segmental Cascades for Speech Recognition

Discriminative segmental models offer a way to incorporate flexible feature functions into speech recognition. However, their appeal has been limited by their computational requirements, due to the large number of possible segments to consider. Multi-pass cascades of segmental models introduce features of increasing complexity in different passes, where in each pass a segmental model rescores lattices produced by a previous (simpler) segmental model. In this paper, we explore several ways of making segmental cascades efficient and practical: reducing the feature set in the first pass, frame subsampling, and various pruning approaches. In experiments on phonetic recognition, we find that with a combination of such techniques, it is possible to maintain competitive performance while greatly reducing decoding, pruning, and training time.

cs.CL↗

arXiv2016

Non-classical photon correlation in a two-dimensional photonic lattice

Quantum interference and quantum correlation, as two main features of quantum optics, play an essential role in quantum information applications, such as multi-particle quantum walk and boson sampling. While many experimental demonstrations have been done in one-dimensional waveguide arrays, it remains unexplored in higher dimensions due to tight requirement of manipulating and detecting photons in large-scale. Here, we experimentally observe non-classical correlation of two identical photons in a fully coupled two-dimensional structure, i.e. photonic lattice manufactured by three-dimensional femtosecond laser writing. Photon interference consists of 36 Hong-Ou-Mandel interference and 9 bunching. The overlap between measured and simulated distribution is up to $0.890\pm0.001$. Clear photon correlation is observed in the two-dimensional photonic lattice. Combining with controllably engineered disorder, our results open new perspectives towards large-scale implementation of quantum simulation on integrated photonic chips.

quant-ph↗

arXiv2016

Signer-independent Fingerspelling Recognition with Deep Neural Network Adaptation

We study the problem of recognition of fingerspelled letter sequences in American Sign Language in a signer-independent setting. Fingerspelled sequences are both challenging and important to recognize, as they are used for many content words such as proper nouns and technical terms. Previous work has shown that it is possible to achieve almost 90% accuracies on fingerspelling recognition in a signer-dependent setting. However, the more realistic signer-independent setting presents challenges due to significant variations among signers, coupled with the dearth of available training data. We investigate this problem with approaches inspired by automatic speech recognition. We start with the best-performing approaches from prior work, based on tandem models and segmental conditional random fields (SCRFs), with features based on deep neural network (DNN) classifiers of letters and phonological features. Using DNN adaptation, we find that it is possible to bridge a large part of the gap between signer-dependent and signer-independent performance. Using only about 115 transcribed words for adaptation from the target signer, we obtain letter accuracies of up to 82.7% with frame-level adaptation labels and 69.7% with only word labels.

cs.CL↗

arXiv2011

Two-dimensional Transport Induced Linear Magneto-Resistance in Topological Insulator Bi$_2$Se$_3$ Nanoribbons

We report the study of a novel linear magneto-resistance (MR) under perpendicular magnetic fields in Bi2Se3 nanoribbons. Through angular dependence magneto-transport experiments, we show that this linear MR is purely due to two-dimensional (2D) transport, in agreement with the recently discovered linear MR from 2D topological surface state in bulk Bi2Te3, and the linear MR of other gapless semiconductors and graphene. We further show that the linear MR of Bi2Se3 nanoribbons persists to room temperature, underscoring the potential of exploiting topological insulator nanomaterials for room temperature magneto-electronic applications.

cond-mat.mes-hall↗

arXiv2010

Magneto-transport Effects in Topological Insulator Bi$_2$Se$_3$ Nanoribbons

Magneto-resistance (MR) of Bi$_2$Se$_3$ nanoribbons is studied over a broad range of temperature ($T$=300K-2K) and under various magnetic field ($B$) orientations. The MR is strongly anisotropic with the perpendicular MR much larger than the longitudinal and transverse MRs. The perpendicular MR exhibits quadratic $B$-dependence in low fields and becomes linear at high $B$. However, when $T$ increases, the perpendicular MR becomes linear over the whole magnetic field range (0-9T) up to room temperature. This unusual linear MR is discussed in the context of the linear quantum MR of the topological surface-states. We also observe the boundary-scattering effect in MR at low temperatures, which indicates that the out-of-plane Fermi momentum is much smaller the in-plane Fermi momentum, excluding the simple three-dimensional Fermi surface picture.

cond-mat.mes-hall↗