24 papers · ranked by Valyu relevance
Yi Luo, Jianwei Yu, Hangting Chen, Rongzhi Gu + 1 more
—We introduce Gull, a generative multifunctional audio codec. Gull is a general purpose neural audio compression and decompression model which can be applied to a wide range of tasks and applications such as real-time communication, audio super-resolution, and codec language models. The key components of Gull include…
Lulu Ding, Kun Wang, Hongmei Zhang, Shaohui Xie + 5 more
DNA storage offers exceptional information density and archival longevity, but is constrained by the complex, heterogeneous errors inherent to synthesis, storage, and sequencing. Conventional error-correction schemes often rely on excessive logical redundancy to mitigate these biochemical imperfections, thereby…
Neil Zeghidour, Alejandro Luebs, Ahmed S. Omran, Jan Skoglund + 1 more
'Marco Tagliasacchi'] Abstract—We present SoundStream, a novel neural audio codec that can efficiently compress speech, music and general audio at bitrates normally targeted by speech-tailored codecs. SoundStream relies on a model architecture composed by a fully convolutional encoder/decoder network and a residual…
Dong-Woo Kang, Ki Jung Seo, Taeuk Kim
Modular programming, which aims to construct the final program by integrating smaller, independent building blocks, has been regarded as a desirable practice in software development. However, with the rise of recent code generation agents built upon large language models (LLMs), a question emerges: is this traditional…
Alejandro Santana-Bonilla, Raquel Lopez-Rios De Castro, Peike Sun, Robert Ziolek + 1 more
Machine learning methods offer the opportunity to design new functional materials on an unprecedented scale however building the large, diverse databases of molecules on which to train such methods remains a daunting task. Automated computational chemistry modelling workflows are therefore becoming essential tools in…
Xiao-Hang Jiang, Yang Ai, Rui-Chen Zheng, Zhen-Hua Ling
—This paper proposes StreamCodec, a streamable neural audio codec designed for real-time communication. StreamCodec adopts a fully causal, symmetric encoder-decoder structure and operates in the modified discrete cosine transform (MDCT) domain, aiming for low-latency inference and real-time efficient generation. To…
Yang Ai, Xiao-Hang Jiang, Ye-Xin Lu, Hui-Peng Du + 1 more
Encoding and Decoding Authors: ['Yang Ai' 'Xiao-Hang Jiang' 'Ye-Xin Lu' 'Hui-Peng Du' 'Zhen-Hua Ling'] Abstract—This paper introduces a novel neural audio codec targeting high waveform sampling rates and low bitrates named APCodec, which seamlessly integrates the strengths of parametric codecs and waveform codecs. The…
Ramy Khabbaz, Jérémy Mateos, Marc Antonini, Serge Kas Hanna
The biochemical processes underlying DNA data storage, including synthesis, amplification, and sequencing, are inherently noisy. Consequently, base-level insertion, deletion, and substitution (IDS) errors, as well as sequence-level dropouts, occur and pose major challenges for reliable data retrieval. Here we introduce…
Grzegorz Ulacha, Mirosław Łazoryszczak, T. Aaron Gulliver, Jun Chen
This paper presents a method for lossless compression of images with fast decoding time and the option to select encoder parameters for individual image characteristics to increase compression efficiency. The data modeling stage was based on linear and nonlinear prediction, which was complemented by a simple block for…
Haibin Wu, Xuanjun Chen, Yi‐Cheng Lin, Kai-Wei Chang + 3 more
'Alexander H. Liu' 'Hung-yi Lee'] Abstract—Neural audio codecs are initially introduced to compress audio data into compact codes to reduce transmission latency. Researchers recently discovered the potential of codecs as suitable tokenizers for converting continuous audio into discrete codes, which can be employed to…
Minje Kim, Jan Skoglund
This paper explores the integration of model-based and data-driven approaches within the realm of neural speech and audio coding systems. It highlights the challenges posed by the subjective evaluation processes of speech and audio codecs and discusses the limitations of purely data-driven approaches, which often…
Grzegorz Ulacha, Mirosław Łazoryszczak, Jun Chen, Sadaf Salehkalaibar
'Sadaf Salehkalaibar'] This paper presents a lossless image compression method with a fast decoding time and flexible adjustment of coder parameters affecting its implementation complexity. A comparison of several approaches for computing non-MMSE prediction coefficients with different levels of complexity was made.…
Filip Milisav, Andrea I. Luppi, Laura E. Suárez, Guillaume Lajoie + 1 more
Modularity is a fundamental principle of brain organization, reflected in the presence of segregated sub-networks that enable specialized information processing. These small, densely connected modules are often nested within larger, higher-order modules, giving rise to a hierarchical modular architecture. This…
Xiaochen Lai, Mingpeng Yang, Hao Wu, Dachao Li + 1 more
This review mainly studies the development status, limitations, and future directions of modular microfluidic systems. Microfluidic technology is an important tool platform for scientific research and plays an important role in various fields. With the continuous development of microfluidic applications, conventional…
Paweł Pawłowski, Karol Piniarski, Adam Dąbrowski
In this paper we present a highly efficient coding procedure, specially designed and dedicated to operate with high dynamic range (HDR) RCCC (red, clear, clear, clear) image sensors used mainly in advanced driver-assistance systems (ADAS) and autonomous driving systems (ADS). The coding procedure can be used for a…
Hadi Hadizadeh, Ivan V. Bajić
Video coding has traditionally been developed to support services such as video streaming, videoconferencing, digital TV, and so on. The main intent was to enable human viewing of the encoded content. However, with the advances in deep neural networks (DNNs), encoded video is increasingly being used for automatic video…
Chen-Hsiu Huang, Ja-Ling Wu, Jun Chen
End-to-end learned image compression codecs have notably emerged in recent years. These codecs have demonstrated superiority over conventional methods, showcasing remarkable flexibility and adaptability across diverse data domains while supporting new distortion losses. Despite challenges such as computational…
Alessio P. Buccino, Olivier Winter, David Bryant, David Feng + 2 more
With the rapid adoption of high-density electrode arrays for recording neural activity, electrophysiology data volumes within labs and across the field are growing at unprecedented rates. For example, a one-hour recording with a 384-channel Neuropixels probe generates over 80 GB of raw data. These large data volumes…
Janusz Klink, Petr Koudelka
Finding a proper balance between video quality and the required bandwidth is an important issue, especially in networks of limited capacity. The problem of comparing the efficiency of video codecs and choosing the most suitable one in a specific situation has become very important. This paper proposes a method of…
Andreas L. Gimpel, Alex Remschak, Wendelin J. Stark, Reinhard Heckel + 1 more
A wide range of codecs with vastly different error-correction approaches have been proposed and implemented for DNA data storage to date. However, while many codecs claim to provide superior performance, no studies have systematically benchmarked codec implementations to establish the current state-of-the-art in DNA…
Stephen Harwood, Maximilian Palkowitz, Cara Gannett, Paulo Perez + 5 more
The synthesis of terpenes is a large field of research that is woven deeply into the history of chemistry. Terpene biosynthesis is a case-study of how the logic of a modular design can lead to diverse structures with unparalleled efficiency. This work mimics Nature by leveraging modern Ni-catalyzed electrochemical…
Morris Vanegas, Miguel Mireles, Qianqian Fang
The exponential growth of research utilizing functional near-infrared spectroscopy (fNIRS) systems has led to the emergence of modular fNIRS systems composed of repeating optical source/detector modules. Compared to conventional fNIRS systems, modular fNIRS systems are more compact and flexible, making wearable and…
Fengrong He, Ian H. Stevenson, Monty A. Escabi
Theories of efficient coding propose that the auditory system is optimized for the statistical structure of natural sounds, yet the transformations underlying optimal acoustic representations are not well understood. Using a database of natural sounds including human speech and a physiologically-inspired auditory…
Anna Matuszyńska, Oliver Ebenhöh, Matias D. Zurbriggen, Daniel C. Ducat + 1 more
Synthetic biology designs and constructs new biological parts, devices and systems with predetermined functionalities. With the unlimited ability to synthesise any DNA and RNA and transfer it to almost any organism, we are at the dawn of a new era in which biology is being recreated in ways never before possible. It…