Audio classification is an important task of mapping audio samples into their corresponding labels. Recently, the transformer model with self-attention mechanisms has been adopted in this field. However, existing transformers require large GPU memories and long training time, meanwhile relying on pretrained vision models to achieve high performance, which limits model's scalability tasks. To combat these problems, we introduce HTS-AT: a hierarchical structure reduce size time. It further...

Contrastive learning has shown remarkable success in the field of multimodal representation learning. In this paper, we propose a pipeline contrastive language-audio pretraining to develop an audio by combining data with natural language descriptions. To accomplish target, first release LAION-Audio-630K, large collection 633,526 audio-text pairs from different sources. Second, construct model considering encoders and text encoders. We incorporate feature fusion mechanism keyword-to-caption...

Abstract Transcriptional regulation enables cells to respond environmental changes. Of the estimated 304 candidate transcription factors (TFs) in Escherichia coli K-12 MG1655, 185 have been experimentally identified, but ChIP methods used fully characterize only a few dozen. Identifying these remaining TFs is key improving our knowledge of E. transcriptional regulatory network (TRN). Here, we developed an integrated workflow for computational prediction and comprehensive experimental...

Significance How do bacteria adapt to the diverse thermal niches on earth? Evidence accumulates in protein sequence and structural determinants of thermosensitivity mechanisms by which molecular chaperones aid folding. However, a comprehensive understanding how thermoadaptation is achieved at systems level still missing. Here we reconstruct an integrated genome-scale protein-folding network for Escherichia coli , termed FoldME, that couples both contributing factors metabolic state cell....

Diffusion models have shown promising results in cross-modal generation tasks, including text-to-image and text-to-audio generation. However, generating music, as a special type of audio, presents unique challenges due to limited availability music data sensitive issues related copyright plagiarism. In this paper, tackle these challenges, we first construct state-of-the-art text-to-music model, MusicLDM, that adapts Stable AudioLDM architectures the domain. Then, address limitations training...

Oxidative stress is concomitant with aerobic metabolism. Thus, bacterial genomes encode elaborate mechanisms to achieve redox homeostasis. Here we report that the peroxide-sensing transcription factor, oxyR, a common mutational target using species belonging two genera, Escherichia coli and Vibrio natriegens, in separate growth conditions implemented during laboratory evolution. The mutations clustered active site, dimer interface, flexible loop of protein. These favor oxidized conformation...

Bacteria regulate gene expression to adapt changing environments through transcriptional regulatory networks (TRNs). Although extensively studied, no TRN is fully characterized since the identity and activity of all regulators comprising a are not known. Here, we experimentally evaluate 40 uncharacterized proteins in Escherichia coli K-12 MG1655, which were computationally predicted be transcription factors (TFs). First, used multiplexed chromatin immunoprecipitation method combined with...

Existing approaches for generating multitrack music with transformer models have been limited in terms of the number instruments, length segments and slow inference. This is partly due to memory requirements lengthy input sequences necessitated by existing representations. In this work, we propose a new representation that allows diverse set instruments while keeping short sequence length. Our proposed Multitrack Music Transformer (MMT) achieves comparable performance state-of-the-art...

The success of genome-scale models (GEMs) can be attributed to the high-quality, bottom-up reconstructions metabolic, protein synthesis, and transcriptional regulatory networks on an organism-specific basis. Such are biochemically, genetically, genomically structured knowledge bases that converted into a mathematical format enable myriad computational biological studies. In recent years, have been extended include structural information, which has opened up new vistas in systems biology...

Audio super-resolution is a fundamental task that predicts high-frequency components for low-resolution audio, enhancing audio quality in digital applications. Previous methods have limitations such as the limited scope of types (e.g., music, speech) and specific bandwidth settings they can handle 4 kHz to 8 kHz). In this paper, we introduce diffusion-based generative model, AudioSR, capable performing robust on versatile types, including sound effects, speech. Specifically, AudioSR upsample...

Working with protein structures at the genome-scale has been challenging in a variety of ways. Here, we present ssbio, Python package that provides framework to easily work structural information context network reconstructions, which can contain thousands individual proteins. The ssbio an automated pipeline construct high quality models (GEM-PROs), wrappers popular third-party programs compute associated properties, and methods visualize annotate directly Jupyter notebooks, thus lowering...

Deep learning techniques for separating audio into different sound sources face several challenges. Standard architectures require training separate models types of sources. Although some universal separators employ a single model to target multiple sources, they have difficulty generalizing unseen In this paper, we propose three-component pipeline train source separator from large, but weakly-labeled dataset: AudioSet. First, transformer-based event detection system processing data. Second,...

Singing melody extraction is an important problem in the field of music information retrieval. Existing methods typically rely on frequency-domain representations to estimate sung frequencies. However, this design does not lead human-level performance perception for both tone (pitch-class) and octave. In paper, we propose TONet <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> , a plug-and-play model that improves octave perceptions by...

Convolutional neural network (CNN)-based methods have dominated the recent research of cover song identification (CSI). A typical example is ByteCover system we proposed, which has achieved state-of-the-art results on all mainstream datasets CSI. In this paper, propose an up-graded version ByteCover, termed ByteCover2, further improves in both performance and efficiency. Compared with ByteCover2 designed additional PCA-FC module, integrates capability principal component analysis (PCA)...

With recent breakthroughs in artificial neural networks, deep generative models have become one of the leading techniques for computational creativity. Despite very promising progress on image and short sequence generation, symbolic music generation remains a challenging problem since structure compositions are usually complicated. In this study, we attempt to solve melody constrained by given chord progression. particular, explore effect explicit architectural encoding musical via comparing...

In this paper, we present MusPy, an open source Python library for symbolic music generation. MusPy provides easy-to-use tools essential components in a generation system, including dataset management, data I/O, preprocessing and model evaluation. order to showcase its potential, statistical analysis of the eleven datasets currently supported by MusPy. Moreover, conduct cross-dataset generalizability experiment training autoregressive on each measuring held-out likelihood others---a process...

Generalist microbes have adapted to a multitude of environmental stresses through their integrated stress response system. Individual responses been quantified by E . coli metabolism and expression (ME) models under thermal, oxidative acid stress, respectively. However, the systematic quantification cross-stress &amp; cross-talk among these remains lacking. Here, we present StressME: unified model combining thermal (FoldME), (OxidizeME) (AcidifyME) responses. StressME is most up date ME for...

We have fabricated in-plane high-Tc Josephson junction pairs and series arrays using our established nanolithography ion damage process. Junctions in a pair showed nearly identical electrical properties. The ten-junction array exhibited current–voltage characteristics that can be described by the resistively shunted model at 78K. Flat giant Shapiro steps were observed both cases. believe ion-damaged superconducting is good candidate to form large numbers of junctions function above 77K for...

We investigate the temporal stability of YBa <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> Cu xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> O xmlns:xlink="http://www.w3.org/1999/xlink">7-δ</sub> Josephson junctions created by ion irradiation through a nanoscale implant mask fabricated using electron beam lithography and reactive etching. A comparison current-voltage characteristics measured for after fabrication eight years...

Universal source separation (USS) is a fundamental research task for computational auditory scene analysis, which aims to separate mono recordings into individual tracks. There are three potential challenges awaiting the solution audio task. First, previous systems mainly focus on separating one or limited number of specific sources. lack building unified system that can arbitrary sources via single model. Second, most require clean data train separator, while scarce. Third, there USS...

Using electron beam lithography and ion damage, high quality YBa/sub 2/Cu/sub 3/O/sub 7-/spl delta// superconductor-normal metal-superconductor in-plane Josephson junction pairs have been fabricated. These junctions operate at temperatures between 60 85 K spacing ranging 150 nm 800 nm. Central electrodes connecting to the area two were made, allowing for simultaneous measurements of individual as well series. with found extraordinary properties under microwave radiation different power. At...