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20202026
most citedEmotion controllable speech synthesis using emotion-unlabeled dataset with the assistance of cross-domain speech emotion recognition

4 citations · 13 across the 14 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.AI2023★ 2 cited

Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration

Qiushi Sun, Zhangyue Yin, Xiang Li +3

Large Language Models (LLMs) are evolving at an unprecedented pace and have exhibited considerable capability in the realm of natural language processing (NLP) with world knowledge…

cs.SD2023

A Discourse-level Multi-scale Prosodic Model for Fine-grained Emotion Analysis

Xianhao Wei, Jia Jia, Xiang Li +2

This paper explores predicting suitable prosodic features for fine-grained emotion analysis from the discourse-level text. To obtain fine-grained emotional prosodic features as pre…

eess.AS2023

SnakeGAN: A Universal Vocoder Leveraging DDSP Prior Knowledge and Periodic Inductive Bias

Sipan Li, Songxiang Liu, Luwen Zhang +5

Generative adversarial network (GAN)-based neural vocoders have been widely used in audio synthesis tasks due to their high generation quality, efficient inference, and small compu…

cs.SD2023

CALM: Contrastive Cross-modal Speaking Style Modeling for Expressive Text-to-Speech Synthesis

Yi Meng, Xiang Li, Zhiyong Wu +6

To further improve the speaking styles of synthesized speeches, current text-to-speech (TTS) synthesis systems commonly employ reference speeches to stylize their outputs instead o…

eess.AS2023

Lexical Speaker Error Correction: Leveraging Language Models for Speaker Diarization Error Correction

Rohit Paturi, Sundararajan Srinivasan, Xiang Li

Speaker diarization (SD) is typically used with an automatic speech recognition (ASR) system to ascribe speaker labels to recognized words. The conventional approach reconciles out…

cs.SD2023

Diverse and Expressive Speech Prosody Prediction with Denoising Diffusion Probabilistic Model

Xiang Li, Songxiang Liu, Max W. Y. Lam +3

Expressive human speech generally abounds with rich and flexible speech prosody variations. The speech prosody predictors in existing expressive speech synthesis methods mostly pro…