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๐Ÿ” rawad bitar ๐Ÿ“‚ Engineering
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Engineering Preprint PDF DOI

Direct Preference Optimization for Speech Autoregressive Diffusion Models

Zhijun Liu, Dongya Jia, Xiaoqiang Wang, Chenpeng Du, Shuai Wang, Zhuo Chen, Haizhou Li ยท 2025

Autoregressive diffusion models (ARDMs) have recently been applied to speech generation, achieving state-of-the-art (SOTA) performance in zero-shot text-to-speech. By autoregressively generating contiโ€ฆ

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Engineering Preprint PDF DOI

DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation

Dongya Jia, Zhuo Chen, Jiawei Chen, Chenpeng Du, Jian Wu, Jian Cong, Xiaobin Zhuang, Chumin Li, Zhen Wei, Yuping Wang, Yuxuan Wang ยท 2025

Several recent studies have attempted to autoregressively generate continuous speech representations without discrete speech tokens by combining diffusion and autoregressive models, yet they often facโ€ฆ

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Engineering Preprint PDF DOI

Leveraging cough sounds to optimize chest x-ray usage in low-resource settings

Alexander Philip, Sanya Chawla, Lola Jover, George P. Kafentzis, Joe Brew, Vishakh Saraf, Shibu Vijayan, Peter Small, Carlos Chaccour ยท 2024

Chest X-ray is a commonly used tool during triage, diagnosis and management of respiratory diseases. In resource-constricted settings, optimizing this resource can lead to valuable cost savings for thโ€ฆ

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Engineering Preprint PDF DOI

BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation

Qiran Jia, Hai Shu ยท 2021

Convolutional neural networks (CNNs) have achieved remarkable success in automatically segmenting organs or lesions on 3D medical images. Recently, vision transformer networks have exhibited exceptionโ€ฆ

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Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference

Xiaohong Liu, Kangdi Shi, Zhe Wang, Jun Chen ยท 2020

To the best of our knowledge, the existing deep-learning-based Video Super-Resolution (VSR) methods exclusively make use of videos produced by the Image Signal Processor (ISP) of the camera system as โ€ฆ

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