Top Papers
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
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech
coqui-ai/TTS
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Interspeech2020 2020
In this paper, we propose multi-band MelGAN, a much faster waveform generation model targeting to high-quality text-to-speech.
Sound Audio and Speech Processing
Manu: A Cloud Native Vector Database Management System
In the past three years, through interaction with our 1200+ industry users, we have sketched a vision for the features that next-generation vector databases should have, which include long-term evolvability, tunable consistency, good elasticity, and high performance.
Databases
Array Programming with NumPy
Array programming provides a powerful, compact, expressive syntax for accessing, manipulating, and operating on data in vectors, matrices, and higher-dimensional arrays.
Mathematical Software Computation
MediaPipe: A Framework for Building Perception Pipelines
google/mediapipe
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A developer can use MediaPipe to build prototypes by combining existing perception components, to advance them to polished cross-platform applications and measure system performance and resource consumption on target platforms.
Distributed, Parallel, and Cluster Computing
TDR-OBCA: A Reliable Planner for Autonomous Driving in Free-Space Environment
This paper presents an optimization-based collision avoidance trajectory generation method for autonomous driving in free-space environments, with enhanced robust-ness, driving comfort and efficiency.
Robotics
Empowering Robotics with Large Language Models: osmAG Map Comprehension with LLMs
In this letter, we address the problem of enabling LLMs to comprehend Area Graph, a text-based map representation, in order to enhance their applicability in the field of mobile robotics.
Robotics
Enhancing Empathetic Response Generation by Augmenting LLMs with Small-scale Empathetic Models
Current large language models (LLMs) excel in response expression; however, they lack the ability to deeply understand emotional and cognitive nuances, particularly in pinpointing fine-grained emotions and their triggers.
Human-Computer Interaction
UbiPhysio: Support Daily Functioning, Fitness, and Rehabilitation with Action Understanding and Feedback in Natural Language
Specifically, the proposed UbiPhysio framework comprises a fine-grained action descriptor and a knowledge retrieval-enhanced feedback module.
Human-Computer Interaction
