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Section: Publications & Resources
A sound field reproduction method based on the spherical wavefunction expansion of sound fields is proposed, which can be flexibly applied to various array geometries and directivities. First, we formulate sound field synthesis as a minimization problem of some norm on the difference between the desired and synthesized sound fields, and then the optimal driving signals are derived by using the spherical wavefunction expansion of the sound fields.
Section: Publications & Resources
Sequence generation tasks, such as neural machine translation (NMT) and abstractive summarization, usually suffer from exposure bias as well as the error propagation problem due to the autoregressive training and generation. Many previous works have discussed the relationship between error propagation and the accuracy drop problem (i.e., the right part of the generated sentence is often worse than its left part in left-to-right decoding models).
Section: Publications & Resources
The acoustic-to-word model based on the Connectionist Temporal Classification (CTC) criterion is a natural end-to-end (E2E) system directly targeting word as output unit. Two issues exist in the system: first, the current output of the CTC model relies on the current input and does not account for context weighted inputs. This is the hard alignment issue.
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Section: Community & Involvement
IEEE SPS Speech and Language Processing Technical Committee Nominations 2019
The Member Election Subcommittee of the SLTC is seeking nominations for new SLTC Members for a 3-year term (2020-2022). Nominations should
be submitted by filling out the web form at https://forms.gle/sm9pStwFFK63zWem8. The nomination deadline is October 20th, 2019.
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
In a typical communication pipeline, images undergo a series of processing steps that can cause visual distortions before being viewed. Given a high quality reference image, a reference (R) image quality assessment (IQA) algorithm can be applied after compression or transmission. However, the assumption of a high quality reference image is often not fulfilled in practice, thus contributing to less accurate quality predictions when using stand-alone R IQA models.
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
In this paper, we present a novel Bayesian classification framework of the matrix variate Bingham distributions with the inclusion of its normalizing constant and develop a consistent general parametric modeling framework based on the Grassmann manifolds. To calculate the normalizing constants of the Bingham model, this paper extends the method of saddle-point approximation (SPA) to a new setting.
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
To promote the applications of semantic segmentation, quality evaluation is important to assess different algorithms and guide their development and optimization. In this paper, we establish a subjective semantic segmentation quality assessment database based on the stimulus-comparison method. Given that the database reflects the relative quality of semantic segmentation result pairs...
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Section: Community & Involvement
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Section: Community & Involvement
What sparked your interest in speech and language processing?
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Section: Community & Involvement
Welcome to the June edition of
