research
∙
09/04/2023
Turbulent Flow Simulation using Autoregressive Conditional Diffusion Models
Simulating turbulent flows is crucial for a wide range of applications, ...
share
research
∙
02/14/2023
Speaker-Independent Acoustic-to-Articulatory Speech Inversion
To build speech processing methods that can handle speech as naturally a...
research
∙
02/08/2023
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech
Recent Text-to-Speech (TTS) systems trained on reading or acted corpora ...
research
∙
11/12/2022
A unified one-shot prosody and speaker conversion system with self-supervised discrete speech units
We present a unified system to realize one-shot voice conversion (VC) on...
research
∙
10/27/2022
A Teacher-student Framework for Unsupervised Speech Enhancement Using Noise Remixing Training and Two-stage Inference
The lack of clean speech is a practical challenge to the development of ...
research
∙
02/14/2022
Learned Turbulence Modelling with Differentiable Fluid Solvers
In this paper, we train turbulence models based on convolutional neural ...
research
∙
02/08/2022
Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs
Simulations that produce three-dimensional data are ubiquitous in scienc...
research
∙
10/12/2021
Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition
While wav2vec 2.0 has been proposed for speech recognition (ASR), it can...
research
∙
10/12/2021
Fine-grained style control in Transformer-based Text-to-speech Synthesis
In this paper, we present a novel architecture to realize fine-grained s...
research
∙
09/05/2021
Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils
The present study investigates the accurate inference of Reynolds-averag...
research
∙
07/13/2021
Speech Representation Learning Combining Conformer CPC with Deep Cluster for the ZeroSpeech Challenge 2021
We present a system for the Zero Resource Speech Challenge 2021, which c...
research
∙
12/28/2020
Spectral Analysis for Semantic Segmentation with Applications on Feature Truncation and Weak Annotation
The current neural networks for semantic segmentation usually predict th...
research
∙
10/30/2018
