16 citations · 27 across the 21 of their papers we have counts for
9 papers · 1 filter
Hierarchical Control of Emotion Rendering in Speech Synthesis
Sho Inoue, Kun Zhou, Shuai Wang +1
Emotional text-to-speech synthesis (TTS) aims to generate realistic emotional speech from input text. However, quantitatively controlling multi-level emotion rendering remains chal…
Speech Separation with Pretrained Frontend to Minimize Domain Mismatch
Wupeng Wang, Zexu Pan, Xinke Li +2
Speech separation seeks to separate individual speech signals from a speech mixture. Typically, most separation models are trained on synthetic data due to the unavailability of ta…
M-Vec: Matryoshka Speaker Embeddings with Flexible Dimensions
Shuai Wang, Pengcheng Zhu, Haizhou Li
Fixed-dimensional speaker embeddings have become the dominant approach in speaker modeling, typically spanning hundreds to thousands of dimensions. These dimensions are hyperparame…
On the effectiveness of enrollment speech augmentation for Target Speaker Extraction
Junjie Li, Ke Zhang, Shuai Wang +3
Deep learning technologies have significantly advanced the performance of target speaker extraction (TSE) tasks. To enhance the generalization and robustness of these algorithms wh…
E1 TTS: Simple and Fast Non-Autoregressive TTS
Zhijun Liu, Shuai Wang, Pengcheng Zhu +2
This paper introduces Easy One-Step Text-to-Speech (E1 TTS), an efficient non-autoregressive zero-shot text-to-speech system based on denoising diffusion pretraining and distributi…
MacST: Multi-Accent Speech Synthesis via Text Transliteration for Accent Conversion
Sho Inoue, Shuai Wang, Wanxing Wang +3
In accented voice conversion or accent conversion, we seek to convert the accent in speech from one another while preserving speaker identity and semantic content. In this study, w…
Autoregressive Diffusion Transformer for Text-to-Speech Synthesis
Zhijun Liu, Shuai Wang, Sho Inoue +2
Audio language models have recently emerged as a promising approach for various audio generation tasks, relying on audio tokenizers to encode waveforms into sequences of discrete s…
Hierarchical Emotion Prediction and Control in Text-to-Speech Synthesis
Sho Inoue, Kun Zhou, Shuai Wang +1
It remains a challenge to effectively control the emotion rendering in text-to-speech (TTS) synthesis. Prior studies have primarily focused on learning a global prosodic representa…
Fine-Grained Quantitative Emotion Editing for Speech Generation
Sho Inoue, Kun Zhou, Shuai Wang +1
It remains a significant challenge how to quantitatively control the expressiveness of speech emotion in speech generation. In this work, we present a novel approach for manipulati…