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Found 13 papers, 4 papers with code
DualSpeech: Enhancing Speaker-Fidelity and Text-Intelligibility Through Dual Classifier-Free Guidance
Text-to-Speech (TTS) models have advanced significantly, aiming to accurately replicate human speech's diversity, including unique speaker identities and linguistic nuances.
Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection
Deep learning models such as convolutional neural networks and transformers have been widely applied to solve 3D object detection problems in the domain of autonomous driving.
Neural varifolds: an aggregate representation for quantifying the geometry of point clouds
In this paper, we propose a new surface geometry characterisation within this realm, namely a neural varifold representation of point clouds.
Detect Closer Surfaces that can be Seen: New Modeling and Evaluation in Cross-domain 3D Object Detection
This raises a fundamental question related to the evaluation of the 3D object detection models' cross-domain performance: Do we really need models to maintain excellent performance in their original 3D bounding boxes after being applied across domains?
Virtual Foundry Graphnet for Metal Sintering Deformation Prediction
Metal Sintering is a necessary step for Metal Injection Molded parts and binder jet such as HP's metal 3D printer.
Semi-supervised learning for continuous emotional intensity controllable speech synthesis with disentangled representations
However, the emotional latent space generated from the existing models is difficult to control the continuous emotional intensity because of the entanglement of features like emotions, speakers, etc.
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
We present a neural analysis and synthesis (NANSY) framework that can manipulate voice, pitch, and speed of an arbitrary speech signal.
Disentangling Timbre and Singing Style with Multi-singer Singing Synthesis System
In this study, we define the identity of the singer with two independent concepts - timbre and singing style - and propose a multi-singer singing synthesis system that can model them separately.
Sound Audio and Speech Processing
Adversarially Trained End-to-end Korean Singing Voice Synthesis System
In this paper, we propose an end-to-end Korean singing voice synthesis system from lyrics and a symbolic melody using the following three novel approaches: 1) phonetic enhancement masking, 2) local conditioning of text and pitch to the super-resolution network, and 3) conditional adversarial training.
Sound Audio and Speech Processing
Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC)
From these three-dimensional crowns, we are able to measure individual tree biomass.
Audio Cover Song Identification using Convolutional Neural Network
To do this, we first build the CNN using as an input a cross-similarity matrix generated from a pair of songs.
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery
Here we develop a 3D tree delineation method which uses graph cut to delineate trees from the full 3D LiDAR point cloud, and also makes use of any optical imagery available (hyperspectral imagery in our case).
Non-parametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Forests
There is much current interest in using multi-sensor airborne remote sensing to monitor the structure and biodiversity of forests.
