Trending Research
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
coqui-ai/TTS
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Several recent end-to-end text-to-speech (TTS) models enabling single-stage training and parallel sampling have been proposed, but their sample quality does not match that of two-stage TTS systems.
Sound Audio and Speech Processing
Catala: A Programming Language for the Law
Law at large underpins modern society, codifying and governing many aspects of citizens' daily lives.
Programming Languages
Dead or Alive: Continuous Data Profiling for Interactive Data Science
Our system, AutoProfiler, presents three ways to support continuous data profiling: it automatically displays data distributions and summary statistics to facilitate data comprehension; it is live, so visualizations are always accessible and update automatically as the data updates; it supports follow up analysis and documentation by authoring code for the user in the notebook.
Human-Computer Interaction Databases
Spatz: Clustering Compact RISC-V-Based Vector Units to Maximize Computing Efficiency
Architecturally, the SCM is the Vector Register File (VRF) of Spatz, a compact 64-bit floating-point-capable vector processor based on RISC-V's Vector Extension Zve64d.
Hardware Architecture
Reliable Monte Carlo Localization for Mobile Robots
The presented method can be implemented using similar estimation manner to that of MCL.
Robotics
MFCCA:Multi-Frame Cross-Channel attention for multi-speaker ASR in Multi-party meeting scenario
Recently cross-channel attention, which better leverages multi-channel signals from microphone array, has shown promising results in the multi-party meeting scenario.
Sound Audio and Speech Processing
Speaker Overlap-aware Neural Diarization for Multi-party Meeting Analysis
alibaba-damo-academy/FunASR
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Recently, hybrid systems of clustering and neural diarization models have been successfully applied in multi-party meeting analysis.
Sound Multimedia Audio and Speech Processing
LIO-GVM: an Accurate, Tightly-Coupled Lidar-Inertial Odometry with Gaussian Voxel Map
Based on the fitted distributions, a new residual metric is proposed for the filter-based Lidar inertial odometry, which demonstrates an improvement from merely quantifying distance to incorporating variance disparity, further enriching the comprehensiveness and accuracy of the residual metric.
Robotics
Coco-LIC: Continuous-Time Tightly-Coupled LiDAR-Inertial-Camera Odometry using Non-Uniform B-spline
To enable efficient fusion of heterogeneous LiDAR-Inertial-Camera data within a short sliding-window optimization, we assign depth to visual pixels using corresponding map points from a global LiDAR map, and formulate frame-to-map reprojection factors for the associated pixels in the current image frame.
Robotics
Unikraft: Fast, Specialized Unikernels the Easy Way
Unikernels are famous for providing excellent performance in terms of boot times, throughput and memory consumption, to name a few metrics.
Operating Systems
