1 citations · 1 across the 4 of their papers we have counts for
4 papers
MOSS-TTSD: Text to Spoken Dialogue Generation
Yuqian Zhang, Donghua Yu, Zhengyuan Lin +15
Spoken dialogue generation is crucial for applications like podcasts, dynamic commentary, and entertainment content, but poses significant challenges compared to single-utterance t…
Controllable Text-to-Speech Synthesis with Masked-Autoencoded Style-Rich Representation
Yongqi Wang, Chunlei Zhang, Hangting Chen +2
Controllable TTS models with natural language prompts often lack the ability for fine-grained control and face a scarcity of high-quality data. We propose a two-stage style-control…
Balancing Speech Understanding and Generation Using Continual Pre-training for Codec-based Speech LLM
Jiatong Shi, Chunlei Zhang, Jinchuan Tian +4
Recent advances in speech language models (LLMs) have extended textual LLMs to the speech domain, but balancing speech understanding and generation remains challenging, especially…
Preference Alignment Improves Language Model-Based TTS
Jinchuan Tian, Chunlei Zhang, Jiatong Shi +4
Recent advancements in text-to-speech (TTS) have shown that language model (LM)-based systems offer competitive performance to their counterparts. Further optimization can be achie…