16 citations · 19 across the 7 of their papers we have counts for
7 papers
MSceneSpeech: A Multi-Scene Speech Dataset For Expressive Speech Synthesis
Qian Yang, Jialong Zuo, Zhe Su +6
We introduce an open source high-quality Mandarin TTS dataset MSceneSpeech (Multiple Scene Speech Dataset), which is intended to provide resources for expressive speech synthesis.…
Multimodal deep representation learning for quantum cross-platform verification
Yang Qian, Yuxuan Du, Zhenliang He +2
Cross-platform verification, a critical undertaking in the realm of early-stage quantum computing, endeavors to characterize the similarity of two imperfect quantum devices executi…
Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias
Ziyue Jiang, Yi Ren, Zhenhui Ye +9
Scaling text-to-speech to a large and wild dataset has been proven to be highly effective in achieving timbre and speech style generalization, particularly in zero-shot TTS. Howeve…
FluentSpeech: Stutter-Oriented Automatic Speech Editing with Context-Aware Diffusion Models
Ziyue Jiang, Qian Yang, Jialong Zuo +4
Stutter removal is an essential scenario in the field of speech editing. However, when the speech recording contains stutters, the existing text-based speech editing approaches sti…
Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts
Chandrayee Basu, Rosni Vasu, Michihiro Yasunaga +1
Automatic medical text simplification can assist providers with patient-friendly communication and make medical texts more accessible, thereby improving health literacy. But curati…
Conversation Regression Testing: A Design Technique for Prototyping Generalizable Prompt Strategies for Pre-trained Language Models
J. D. Zamfirescu-Pereira, Bjoern Hartmann, Qian Yang
Pre-trained language models (LLMs) such as GPT-3 can carry fluent, multi-turn conversations out-of-the-box, making them attractive materials for chatbot design. Further, designers…