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The introduction of diffusion models has brought significant advances to the field of audio-driven talking head generation. However, the extremely slow inference speed severely limits the practical implementation of diffusion-based talking…

图形学 · 计算机科学 2025-11-18 Haotian Wang , Yuzhe Weng , Jun Du , Haoran Xu , Xiaoyan Wu , Shan He , Bing Yin , Cong Liu , Jianqing Gao , Qingfeng Liu

Audio-driven talking head generation aims to create vivid and realistic videos from a static portrait and speech. Existing AR-based methods rely on intermediate facial representations, which limit their expressiveness and realism.…

计算机视觉与模式识别 · 计算机科学 2026-03-24 Yuzhe Weng , Haotian Wang , Yuanhong Yu , Jun Du , Shan He , Xiaoyan Wu , Haoran Xu

Generating 3D human gestures and speech from a text script is critical for creating realistic talking avatars. One solution is to leverage separate pipelines for text-to-speech (TTS) and speech-to-gesture (STG), but this approach suffers…

多媒体 · 计算机科学 2024-09-26 Zixin Guo , Jian Zhang

Target-guided response generation enables dialogue systems to smoothly transition a conversation from a dialogue context toward a target sentence. Such control is useful for designing dialogue systems that direct a conversation toward…

计算与语言 · 计算机科学 2022-05-20 Prakhar Gupta , Harsh Jhamtani , Jeffrey P. Bigham

Generative models are a popular choice for adult-to-adult voice conversion (VC) because of their efficient way of modelling unlabelled data. To this point their usefulness in producing children speech and in particular adult to child VC has…

声音 · 计算机科学 2025-12-16 Protima Nomo Sudro , Anton Ragni , Thomas Hain

This paper presents a generative approach to speech enhancement based on a recurrent variational autoencoder (RVAE). The deep generative speech model is trained using clean speech signals only, and it is combined with a nonnegative matrix…

机器学习 · 计算机科学 2020-02-11 Simon Leglaive , Xavier Alameda-Pineda , Laurent Girin , Radu Horaud

We present a novel response generation system that can be trained end to end on large quantities of unstructured Twitter conversations. A neural network architecture is used to address sparsity issues that arise when integrating contextual…

Generative foundation AI models have recently shown great success in synthesizing natural signals with high perceptual quality using only textual prompts and conditioning signals to guide the generation process. This enables semantic…

信息论 · 计算机科学 2024-08-20 Li Qiao , Mahdi Boloursaz Mashhadi , Zhen Gao , Chuan Heng Foh , Pei Xiao , Mehdi Bennis

Generative AI is changing the way that many disciplines are taught, including computer science. Researchers have shown that generative AI tools are capable of solving programming problems, writing extensive blocks of code, and explaining…

Generative-AI (GenAI), a novel technology capable of producing various types of outputs, including text, images, and videos, offers significant potential for wireless communications. This article introduces the concept of strategic…

网络与互联网体系结构 · 计算机科学 2024-12-03 Berk Çiloğlu , Görkem Berkay Koç , Afsoon Alidadi Shamsabadi , Metin Ozturk , Halim Yanikomeroglu

This paper proposes a new approach to duration modelling for statistical parametric speech synthesis in which a recurrent statistical model is trained to output a phone transition probability at each timestep (acoustic frame). Unlike…

计算与语言 · 计算机科学 2020-07-28 Srikanth Ronanki , Oliver Watts , Simon King , Gustav Eje Henter

During speech, people spontaneously gesticulate, which plays a key role in conveying information. Similarly, realistic co-speech gestures are crucial to enable natural and smooth interactions with social agents. Current end-to-end co-speech…

Machine-generated speech is characterized by its limited or unnatural emotional variation. Current text to speech systems generates speech with either a flat emotion, emotion selected from a predefined set, average variation learned from…

音频与语音处理 · 电气工程与系统科学 2021-11-10 Sarath Sivaprasad , Saiteja Kosgi , Vineet Gandhi

With the growing requirement for natural human-computer interaction, speech-based systems receive increasing attention as speech is one of the most common forms of daily communication. However, the existing speech models still experience…

Speech synthesis is used in a wide variety of industries. Nonetheless, it always sounds flat or robotic. The state of the art methods that allow for prosody control are very cumbersome to use and do not allow easy tuning. To tackle some of…

声音 · 计算机科学 2021-10-08 Enrique Hortal , Rodrigo Brechard Alarcia

Contemporary conversational systems often present a significant limitation: their responses lack the emotional depth and disfluent characteristic of human interactions. This absence becomes particularly noticeable when users seek more…

计算与语言 · 计算机科学 2024-04-03 Rohan Chaudhury , Mihir Godbole , Aakash Garg , Jinsil Hwaryoung Seo

In the near future, mobile networks are expected to broaden their services and coverage to accommodate a larger user base and diverse user needs. Thus, they will increasingly rely on artificial intelligence (AI) to manage network operation…

Full-body gestures play a pivotal role in natural interactions and are crucial for achieving effective communication. Nevertheless, most existing studies primarily focus on the gesture generation of speakers, overlooking the vital role of…

图形学 · 计算机科学 2025-05-09 Jinhe Huang , Yongkang Cheng , Yuming Hang , Gaoge Han , Jinewei Li , Jing Zhang , Xingjian Gu

Due to the lack of publicly available resources, conversation summarization has received far less attention than text summarization. As the purpose of conversations is to exchange information between at least two interlocutors, key…

计算与语言 · 计算机科学 2019-10-04 Zhengyuan Liu , Angela Ng , Sheldon Lee , Ai Ti Aw , Nancy F. Chen

Generative AI offers significant opportunities for language learning. Tools like ChatGPT can provide informal second language practice through chats in written or voice forms, with the learner specifying through prompts conversational…

计算机与社会 · 计算机科学 2024-06-03 Robert Godwin-Jones