research
∙
09/18/2023
HiFTNet: A Fast High-Quality Neural Vocoder with Harmonic-plus-Noise Filter and Inverse Short Time Fourier Transform
Recent advancements in speech synthesis have leveraged GAN-based network...
share
research
∙
07/18/2023
SLMGAN: Exploiting Speech Language Model Representations for Unsupervised Zero-Shot Voice Conversion in GANs
In recent years, large-scale pre-trained speech language models (SLMs) h...
research
∙
06/13/2023
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
In this paper, we present StyleTTS 2, a text-to-speech (TTS) model that ...
research
∙
05/29/2023
DeCoR: Defy Knowledge Forgetting by Predicting Earlier Audio Codes
Lifelong audio feature extraction involves learning new sound classes in...
research
∙
03/13/2023
Online Binaural Speech Separation of Moving Speakers With a Wavesplit Network
Binaural speech separation in real-world scenarios often involves moving...
research
∙
02/11/2023
Improved Decoding of Attentional Selection in Multi-Talker Environments with Self-Supervised Learned Speech Representation
Auditory attention decoding (AAD) is a technique used to identify and am...
research
∙
01/20/2023
Phoneme-Level BERT for Enhanced Prosody of Text-to-Speech with Grapheme Predictions
Large-scale pre-trained language models have been shown to be helpful in...
research
∙
12/29/2022
StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from Style-Based TTS Models
One-shot voice conversion (VC) aims to convert speech from any source sp...
research
∙
05/30/2022
StyleTTS: A Style-Based Generative Model for Natural and Diverse Text-to-Speech Synthesis
Text-to-Speech (TTS) has recently seen great progress in synthesizing hi...
research
∙
07/21/2021
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion
We present an unsupervised non-parallel many-to-many voice conversion (V...
research
∙
02/08/2021
Speaker and Direction Inferred Dual-channel Speech Separation
Most speech separation methods, trying to separate all channel sources s...
research
∙
12/17/2020
Continuous Speech Separation Using Speaker Inventory for Long Multi-talker Recording
Leveraging additional speaker information to facilitate speech separatio...
research
∙
12/14/2020
Group Communication with Context Codec for Ultra-Lightweight Source Separation
Ultra-lightweight model design is an important topic for the deployment ...
research
∙
11/17/2020
Implicit Filter-and-sum Network for Multi-channel Speech Separation
Various neural network architectures have been proposed in recent years ...
research
∙
11/17/2020
Rethinking the Separation Layers in Speech Separation Networks
Modules in all existing speech separation networks can be categorized in...
research
∙
11/17/2020
Ultra-Lightweight Speech Separation via Group Communication
Model size and complexity remain the biggest challenges in the deploymen...
research
∙
03/27/2020
Separating Varying Numbers of Sources with Auxiliary Autoencoding Loss
Many recent source separation systems are designed to separate a fixed n...
research
∙
02/16/2020
Real-time binaural speech separation with preserved spatial cues
Deep learning speech separation algorithms have achieved great success i...
research
∙
10/30/2019
End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation
An important problem in ad-hoc microphone speech separation is how to gu...
research
∙
09/29/2019
FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing
Beamforming has been extensively investigated for multi-channel audio pr...
research
∙
09/20/2018
TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation
Robust speech processing in multitalker acoustic environments requires a...
research
∙
11/01/2017
TasNet: time-domain audio separation network for real-time, single-channel speech separation
Robust speech processing in multi-talker environments requires effective...
research
∙
10/26/2017
Lip2AudSpec: Speech reconstruction from silent lip movements video
In this study, we propose a deep neural network for reconstructing intel...
research
∙
07/12/2017
Speaker-independent Speech Separation with Deep Attractor Network
Despite the recent success of deep learning for many speech processing t...
research
∙
11/18/2016
