58 citations · 150 across the 81 of their papers we have counts for
12 papers · 2 filters
CLN-VC: Text-Free Voice Conversion Based on Fine-Grained Style Control and Contrastive Learning with Negative Samples Augmentation
Yimin Deng, Xulong Zhang, Jianzong Wang +2
Better disentanglement of speech representation is essential to improve the quality of voice conversion. Recently contrastive learning is applied to voice conversion successfully b…
DQR-TTS: Semi-supervised Text-to-speech Synthesis with Dynamic Quantized Representation
Jianzong Wang, Pengcheng Li, Xulong Zhang +2
Most existing neural-based text-to-speech methods rely on extensive datasets and face challenges under low-resource condition. In this paper, we introduce a novel semi-supervised t…
Contrastive Latent Space Reconstruction Learning for Audio-Text Retrieval
Kaiyi Luo, Xulong Zhang, Jianzong Wang +3
Cross-modal retrieval (CMR) has been extensively applied in various domains, such as multimedia search engines and recommendation systems. Most existing CMR methods focus on image-…
FastGraphTTS: An Ultrafast Syntax-Aware Speech Synthesis Framework
Jianzong Wang, Xulong Zhang, Aolan Sun +2
This paper integrates graph-to-sequence into an end-to-end text-to-speech framework for syntax-aware modelling with syntactic information of input text. Specifically, the input tex…
Voice Conversion with Denoising Diffusion Probabilistic GAN Models
Xulong Zhang, Jianzong Wang, Ning Cheng +1
Voice conversion is a method that allows for the transformation of speaking style while maintaining the integrity of linguistic information. There are many researchers using deep g…
Symbolic & Acoustic: Multi-domain Music Emotion Modeling for Instrumental Music
Kexin Zhu, Xulong Zhang, Jianzong Wang +2
Music Emotion Recognition involves the automatic identification of emotional elements within music tracks, and it has garnered significant attention due to its broad applicability…
PMVC: Data Augmentation-Based Prosody Modeling for Expressive Voice Conversion
Yimin Deng, Huaizhen Tang, Xulong Zhang +3
Voice conversion as the style transfer task applied to speech, refers to converting one person's speech into a new speech that sounds like another person's. Up to now, there has be…
EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Synthesis
Haobin Tang, Xulong Zhang, Jianzong Wang +2
There has been significant progress in emotional Text-To-Speech (TTS) synthesis technology in recent years. However, existing methods primarily focus on the synthesis of a limited…
SAR: Self-Supervised Anti-Distortion Representation for End-To-End Speech Model
Jianzong Wang, Xulong Zhang, Haobin Tang +3
In recent Text-to-Speech (TTS) systems, a neural vocoder often generates speech samples by solely conditioning on acoustic features predicted from an acoustic model. However, there…
Dynamic Alignment Mask CTC: Improved Mask-CTC with Aligned Cross Entropy
Xulong Zhang, Haobin Tang, Jianzong Wang +3
Because of predicting all the target tokens in parallel, the non-autoregressive models greatly improve the decoding efficiency of speech recognition compared with traditional autor…
QI-TTS: Questioning Intonation Control for Emotional Speech Synthesis
Haobin Tang, Xulong Zhang, Jianzong Wang +2
Recent expressive text to speech (TTS) models focus on synthesizing emotional speech, but some fine-grained styles such as intonation are neglected. In this paper, we propose QI-TT…
Improving Music Genre Classification from Multi-Modal Properties of Music and Genre Correlations Perspective
Ganghui Ru, Xulong Zhang, Jianzong Wang +2
Music genre classification has been widely studied in past few years for its various applications in music information retrieval. Previous works tend to perform unsatisfactorily, s…