Search Results for author:
Found 9 papers, 3 papers with code
Guiding Neural Entity Alignment with Compatibility
Making compatible predictions thus should be one of the goals of training an EA model along with fitting the labelled data: this aspect however is neglected in current methods.
Streaming Parrotron for on-device speech-to-speech conversion
We present a streaming-based approach to produce an acceptable delay, with minimal loss in speech conversion quality, when compared to a reference state of the art non-streaming approach.
High-quality Task Division for Large-scale Entity Alignment
To include in the EA subtasks a high proportion of the potential mappings originally present in the large EA task, we devise a counterpart discovery method that exploits the locality principle of the EA task and the power of trained EA models.
A Scalable Model Specialization Framework for Training and Inference using Submodels and its Application to Speech Model Personalization
We also show that learning a speaker-embedding space can scale further and reduce the amount of personalization training data required per speaker.
Real time spectrogram inversion on mobile phone
We present two methods of real time magnitude spectrogram inversion: streaming Griffin Lim(GL) and streaming MelGAN.
Wide-Angle Invisible Dielectric Metasurface Driven by Transverse Kerker Scattering
Here a route to realize transverse Kerker scattering through employing only the interference between the electric dipole and magnetic quadrupole is demonstrated.
Optics
Constructive and Destructive Interference of Kerker-type Scattering in an Ultra-thin Silicon Huygens Metasurface
These modes are provided by a designed and fabricated CMOS compatible ultra-thin Silicon nanodisk metasurface with a suppressed magnetic dipole contribution, and verified through multipole decomposition.
Optics Classical Physics
Existence of an equilibrium for pure exchange economy with fuzzy preferences
We set up a new fuzzy binary relation on the consumption set to evaluate the fuzzy preferences.
Computer Science and Game Theory
