3 citations · 7 across the 9 of their papers we have counts for
6 papers · 1 filter
Retrieval Augmented Generation in Prompt-based Text-to-Speech Synthesis with Context-Aware Contrastive Language-Audio Pretraining
Jinlong Xue, Yayue Deng, Yingming Gao +1
Recent prompt-based text-to-speech (TTS) models can clone an unseen speaker using only a short speech prompt. They leverage a strong in-context ability to mimic the speech prompts,…
Improving Audio Codec-based Zero-Shot Text-to-Speech Synthesis with Multi-Modal Context and Large Language Model
Jinlong Xue, Yayue Deng, Yicheng Han +2
Recent advances in large language models (LLMs) and development of audio codecs greatly propel the zero-shot TTS. They can synthesize personalized speech with only a 3-second speec…
Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation
Jinlong Xue, Yayue Deng, Yingming Gao +1
Recent advancements in diffusion models and large language models (LLMs) have significantly propelled the field of AIGC. Text-to-Audio (TTA), a burgeoning AIGC application designed…
Frame-level emotional state alignment method for speech emotion recognition
Qifei Li, Yingming Gao, Cong Wang +4
Speech emotion recognition (SER) systems aim to recognize human emotional state during human-computer interaction. Most existing SER systems are trained based on utterance-level la…
M2-CTTS: End-to-End Multi-scale Multi-modal Conversational Text-to-Speech Synthesis
Jinlong Xue, Yayue Deng, Fengping Wang +5
Conversational text-to-speech (TTS) aims to synthesize speech with proper prosody of reply based on the historical conversation. However, it is still a challenge to comprehensively…
ECAPA-TDNN for Multi-speaker Text-to-speech Synthesis
Jinlong Xue, Yayue Deng, Yichen Han +3
In recent years, neural network based methods for multi-speaker text-to-speech synthesis (TTS) have made significant progress. However, the current speaker encoder models used in t…