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08/28/2023
Pruning Self-Attention for Zero-Shot Multi-Speaker Text-to-Speech
For personalized speech generation, a neural text-to-speech (TTS) model ...
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06/14/2023
Feature Normalization for Fine-tuning Self-Supervised Models in Speech Enhancement
Large, pre-trained representation models trained using self-supervised l...
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06/02/2023
HD-DEMUCS: General Speech Restoration with Heterogeneous Decoders
This paper introduces an end-to-end neural speech restoration model, HD-...
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05/03/2023
HappyQuokka System for ICASSP 2023 Auditory EEG Challenge
This report describes our submission to Task 2 of the Auditory EEG Decod...
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06/30/2022
Learning Audio-Text Agreement for Open-vocabulary Keyword Spotting
In this paper, we propose a novel end-to-end user-defined keyword spotti...
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05/09/2022
ReCAB-VAE: Gumbel-Softmax Variational Inference Based on Analytic Divergence
The Gumbel-softmax distribution, or Concrete distribution, is often used...
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04/05/2022
AILTTS: Adversarial Learning of Intermediate Acoustic Feature for End-to-End Lightweight Text-to-Speech
The quality of end-to-end neural text-to-speech (TTS) systems highly dep...
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02/24/2022
Phase Continuity: Learning Derivatives of Phase Spectrum for Speech Enhancement
Modern neural speech enhancement models usually include various forms of...
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01/25/2022
SASV Challenge 2022: A Spoofing Aware Speaker Verification Challenge Evaluation Plan
ASV (automatic speaker verification) systems are intrinsically required ...
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07/26/2021
Facetron: Multi-speaker Face-to-Speech Model based on Cross-modal Latent Representations
In this paper, we propose an effective method to synthesize speaker-spec...
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03/25/2021
Looking into Your Speech: Learning Cross-modal Affinity for Audio-visual Speech Separation
In this paper, we address the problem of separating individual speech si...
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08/04/2020
MIRNet: Learning multiple identities representations in overlapped speech
Many approaches can derive information about a single speaker's identity...
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08/04/2020
Intra-class variation reduction of speaker representation in disentanglement framework
In this paper, we propose an effective training strategy to ex-tract rob...
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05/14/2020
FaceFilter: Audio-visual speech separation using still images
The objective of this paper is to separate a target speaker's speech fro...
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04/29/2020
Seeing voices and hearing voices: learning discriminative embeddings using cross-modal self-supervision
The goal of this work is to train discriminative cross-modal embeddings ...
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11/05/2019
emotional speech synthesis with rich and granularized control
This paper proposes an effective emotion control method for an end-to-en...
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06/20/2019
Parameter Enhancement for MELP Speech Codec in Noisy Communication Environment
In this paper, we propose a deep learning (DL)-based parameter enhanceme...
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05/21/2019
Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems
In this paper, we propose a high-quality generative text-to-speech (TTS)...
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01/15/2019
Orthonormal Embedding-based Deep Clustering for Single-channel Speech Separation
Deep clustering is a deep neural network-based speech separation algorit...
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11/29/2018
LP-WaveNet: Linear Prediction-based WaveNet Speech Synthesis
We propose a linear prediction (LP)-based waveform generation method via...
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11/09/2018
ExcitNet vocoder: A neural excitation model for parametric speech synthesis systems
This paper proposes a WaveNet-based neural excitation model (ExcitNet) f...
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11/08/2018
Speaker-adaptive neural vocoders for statistical parametric speech synthesis systems
This paper proposes speaker-adaptive neural vocoders for statistical par...
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09/21/2018