This paper describes a novel technique to exploit duration information for low resource speech recognition systems. Using explicit duration models significantly increases computational cost due to a large search space...
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ISBN:
(纸本)9781617821233
This paper describes a novel technique to exploit duration information for low resource speech recognition systems. Using explicit duration models significantly increases computational cost due to a large search space. To avoid this problem, most of techniques using duration information adopt two-pass and N-best re-scoring approaches. Meanwhile, we propose an algorithm using word duration models with incremental speech rate normalization for the one-pass decoding approach. In the proposed technique, penalties are only added to scores of words with outlier durations, and not all words need to have duration models. Experimental results show that the proposed technique reduces up to 17% of errors on in-car digit string tasks without significant increase in computational cost.
Kalman filters have been used to decode neural signals and estimate hand kinematics in many studies. However, most prior work assumes a linear system model, an assumption that is almost certainly violated by neural sy...
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ISBN:
(纸本)9781479928941
Kalman filters have been used to decode neural signals and estimate hand kinematics in many studies. However, most prior work assumes a linear system model, an assumption that is almost certainly violated by neural systems. In this paper, we show that adding nonlinearities to the decoding algorithm improves the accuracy of tracking hand movements using neural signal acquired via a 32-channel micro-electrocorticographic (μECoG) grid placed over the arm and hand representations in the motor cortex. Experimental comparisons indicate that a Kalman filter with a fifth order polynomial generative model relating the hand kinematics signals to the neural signals improved the mean-square tracking performance in the hand movements over a conventional Kalman filter employing a linear system model. This finding is in accord with the current neurophysiological understanding of the decoded signals.
Sparse integer least-squares problems come up in a wide range of applications including wireless communications and genomics. The sphere decoding algorithm can find near-optimal solution to these problems with reduced...
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ISBN:
(纸本)9781479903573
Sparse integer least-squares problems come up in a wide range of applications including wireless communications and genomics. The sphere decoding algorithm can find near-optimal solution to these problems with reduced average complexity if the knowledge of sparsity of the unknown vector is used in decoding. In this paper, we formulate a sphere decoding approach that relies on the l_0-norm constraint on the unknown vector to solve sparse integer least-squares problems. The expected complexity of this algorithm is derived analytically for sparse alphabets associated with common applications such as sparse channel estimation and validated via simulations. The results indicate superior performance and speed compared to the classical sphere decoding algorithm.
This paper presents a novel belief propagation (BP) based decoding algorithm for polar codes. The proposed algorithm facilitates belief propagation by utilizing the specific constituent codes that exist in the factor ...
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ISBN:
(纸本)9781479959532
This paper presents a novel belief propagation (BP) based decoding algorithm for polar codes. The proposed algorithm facilitates belief propagation by utilizing the specific constituent codes that exist in the factor graph, which results in an express journey (XJ) for belief information to propagate in each decoding iteration. In addition, this XJ-BP decoder employs a novel round-trip message passing scheduling method for the increased efficiency. The proposed method simplifies min-sum (MS) BP decoder by 40.6%. Along with the round-trip scheduling, the XJ-BP algorithm reduces the computational complexity of MS BP decoding by 90.4%;this enables an energy-efficient hardware implementation of BP decoding in practice.
An implementation of coding and encryption for data in a low Earth orbit satellite channel is presented. A system of block coding and block cipher is designed to improve the noise performance and for data security, re...
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ISBN:
(纸本)7505336355
An implementation of coding and encryption for data in a low Earth orbit satellite channel is presented. A system of block coding and block cipher is designed to improve the noise performance and for data security, respectively. The Reed-Muller code is adopted as the coding scheme and an improved algorithm based on the Reed algorithm is used as decoding algorithm. A supercipher system combined with a block cipher and a stream cipher is put forward to compensate the shortage of total encryption keys brought about by the short block length of the block cipher. For a system with a bit rate as high as 10/sup 6/ b/s, an EPROM array is used and one search process could implement both the coding and encryption.
The freeze of the 5th generation new radio (5G NR) Release 16 indicates that 5G development has stepped into a new stage. The application of a dedicated low-density parity-check (LDPC) code for channel coding is an im...
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The freeze of the 5th generation new radio (5G NR) Release 16 indicates that 5G development has stepped into a new stage. The application of a dedicated low-density parity-check (LDPC) code for channel coding is an important technical advance that distinguishes 5G NR from the 4th generation (4G) long-term evolution (LTE) and LIE-advanced. Although LDPC codes have been used in many different systems, the newly developed LDPC code in 5G NR integrates many cutting-edge technologies to provide better performance and attractive features. Thus, it can be a good reference for channel coding in other evolving systems headed by digital terrestrial television broadcasting (DTTB). In emerging applications, the DTTB system needs to carry information with higher density, while meeting the high requirements for real-time, coverage, and bit error rate of broadcasting. To provide a reference for DTTB channel coding that improves its performance and supports new services, a review of 5G NR LDPC code implementation is carried out from three aspects: code analysis and design, decoding algorithm, and decoder architecture. We thoroughly evaluate each solution and highlight some candidates for existing implementations or directions for further development of the DTTB system.
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