Search Results for author:
Found 9 papers, 7 papers with code
InSpaceType: Dataset and Benchmark for Reconsidering Cross-Space Type Performance in Indoor Monocular Depth
We extend the analysis to a total of 4 datasets and discuss the best practice in synthetic data curation for training indoor monocular depth.
Indoor Monocular Depth Estimation
Monocular Depth Estimation
+1
InSpaceType: Reconsider Space Type in Indoor Monocular Depth Estimation
To facilitate our investigation for robustness and address limitations of previous works, we collect InSpaceType, a high-quality and high-resolution RGBD dataset for general indoor environments.
Indoor Monocular Depth Estimation
Monocular Depth Estimation
Synthesizing Personalized Non-speech Vocalization from Discrete Speech Representations
We formulated non-speech vocalization (NSV) modeling as a text-to-speech task and verified its viability.
Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?
This work digs into a root question in human perception: can face geometry be gleaned from one's voices?
Ranked #1 on
3D Face Modelling
on Voxceleb-3D
Voice2Mesh: Cross-Modal 3D Face Model Generation from Voices
This work focuses on the analysis that whether 3D face models can be learned from only the speech inputs of speakers.
Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems
Robust speaker recognition, including in the presence of malicious attacks, is becoming increasingly important and essential, especially due to the proliferation of several smart speakers and personal agents that interact with an individual's voice commands to perform diverse, and even sensitive tasks.
Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks
Building a voice conversion (VC) system from non-parallel speech corpora is challenging but highly valuable in real application scenarios.
Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder
We propose a flexible framework for spectral conversion (SC) that facilitates training with unaligned corpora.
Dictionary Update for NMF-based Voice Conversion Using an Encoder-Decoder Network
In this paper, we propose a dictionary update method for Nonnegative Matrix Factorization (NMF) with high dimensional data in a spectral conversion (SC) task.
