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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…

Graphics · Computer Science 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.…

Computer Vision and Pattern Recognition · Computer Science 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…

Multimedia · Computer Science 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…

Computation and Language · Computer Science 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…

Sound · Computer Science 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…

Machine Learning · Computer Science 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…

Computation and Language · Computer Science 2015-06-23 Alessandro Sordoni , Michel Galley , Michael Auli , Chris Brockett , Yangfeng Ji , Margaret Mitchell , Jian-Yun Nie , Jianfeng Gao , Bill Dolan

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…

Information Theory · Computer Science 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…

Human-Computer Interaction · Computer Science 2024-02-14 Bailey Kimmel , Austin Geisert , Lily Yaro , Brendan Gipson , Taylor Hotchkiss , Sidney Osae-Asante , Hunter Vaught , Grant Wininger , Chase Yamaguchi

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…

Networking and Internet Architecture · Computer Science 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…

Computation and Language · Computer Science 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…

Human-Computer Interaction · Computer Science 2021-01-15 Taras Kucherenko , Patrik Jonell , Sanne van Waveren , Gustav Eje Henter , Simon Alexanderson , Iolanda Leite , Hedvig Kjellström

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…

Audio and Speech Processing · Electrical Eng. & Systems 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…

Computation and Language · Computer Science 2025-10-22 Zuwei Long , Yunhang Shen , Chaoyou Fu , Heting Gao , Lijiang Li , Peixian Chen , Mengdan Zhang , Hang Shao , Jian Li , Jinlong Peng , Haoyu Cao , Ke Li , Rongrong Ji , Xing Sun

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…

Sound · Computer Science 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…

Computation and Language · Computer Science 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…

Graphics · Computer Science 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…

Computation and Language · Computer Science 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…

Computers and Society · Computer Science 2024-06-03 Robert Godwin-Jones