Trending Research
GPTR: Gaussian Process Trajectory Representation for Continuous-Time Motion Estimation
To bolster the adoption of the continuous-time paradigm, we propose a so-called Gaussian Process Trajectory Representation (GPTR) framework for continuous-time motion estimation (CTME) tasks.
Robotics
QMDB: Quick Merkle Database
This performance enables support for 1 million token transfers per second (TPS), marking QMDB as the first solution achieving such a milestone.
Networking and Internet Architecture Databases
P4Testgen: An Extensible Test Oracle For P4
We have instantiated P4Testgen for the V1model, eBPF, PNA, and Tofino P4 architectures.
Networking and Internet Architecture Symbolic Computation Software Engineering
Empowering Robot Path Planning with Large Language Models: osmAG Map Topology & Hierarchy Comprehension with LLMs
Large Language Models (LLMs) have demonstrated great potential in robotic applications by providing essential general knowledge.
Robotics
SingVisio: Visual Analytics of Diffusion Model for Singing Voice Conversion
In this study, we present SingVisio, an interactive visual analysis system that aims to explain the diffusion model used in singing voice conversion.
Sound Human-Computer Interaction Audio and Speech Processing
Leveraging Diverse Semantic-based Audio Pretrained Models for Singing Voice Conversion
We discover that the knowledge of different models is diverse and can be complementary for SVC.
Sound Audio and Speech Processing
HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution
modelscope/ClearerVoice-Studio
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However, existing SR methods that typically rely on independently trained and concatenated networks may lead to inconsistent representations and poor speech quality, especially in out-of-domain scenarios.
Sound Audio and Speech Processing
Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU
We introduce Stream-K, a work-centric parallelization of matrix multiplication (GEMM) and related computations in dense linear algebra.
Data Structures and Algorithms Distributed, Parallel, and Cluster Computing
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)
As a result, Think2Drive is able to run in an expert-level proficiency in CARLA v2 within 3 days of training on a single A6000 GPU, and to our best knowledge, so far there is no reported success (100\% route completion)on CARLA v2.
Robotics
CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking
alibaba-damo-academy/3D-Speaker
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Time delay neural network (TDNN) has been proven to be efficient for speaker verification.
Sound Audio and Speech Processing
