ABSTRACTNet zero emission and attainment of SDG‐13 was the core agenda in COP 26, 27, and 28. In this regard, the present study measures the nexus between environmental policy stringency, renewable energy, green technology innovation, globalization, and carbon emissions. The CS‐ARDL model is utilized to study the said variables in G7 (Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States) nations. Results reveal that carbon emissions, renewable energy, environmental policy stringency, and globalization are positively associated with green technology innovation and strongly impact the development and implementation of green innovations in the long run, particularly by CO2 emission. Whereas in the short run, the aforementioned associations and impacts are weak and less impactful besides carbon emissions with green innovation. Overall findings show that green technology innovation is the powerful and most crucial tool for the reduction of carbon emissions and climate change impacts. Policy implications are suggested to attain the net zero emission and SDG‐13 in G7 nations through green innovation and its associated products, processes, and practices.
This project presents an AI-based system for tone replication in music production, focusing on predicting EQ parameter settings directly from audio features. Unlike traditional audio-to-audio methods, our approach outputs interpretable parameter values (e.g., EQ band gains) that musicians can further adjust in their workflow. Using a dataset of piano recordings with systematically varied EQ settings, we evaluate both regression and neural network models. The neural network achieves a mean squared error of 0.0216 on multi-band tasks. The system enables practical, flexible, and automated tone matching for music producers and lays the foundation for extensions to more complex audio effects.
ABSTRACT This study investigates how corporate social responsibility (CSR) and corporate sustainability (CS) are communicated by Green Star‐certified hotels in Türkiye. A total of 162 five‐star hotels in Antalya were screened through their official websites. Among them, only 13 hotels, representing approximately 8% of the total, disclosed CSR and/or CS‐related information; therefore, the analysis is limited to these hotels. Using qualitative content analysis, disclosures were categorized into social, environmental, and economic dimensions. Findings reveal that environmental disclosures, particularly those related to waste and energy management, were most frequent, while economic disclosures were scarce. The study contributes to theory by extending ethical perspectives with legitimacy, institutional, stakeholder, and signaling frameworks. From a managerial perspective, the paper recommends adopting GRI‐aligned reporting templates, updating website content regularly, and standardizing disclosure of key social and community metrics. Limitations include the small sample size, reliance solely on web content, single time‐point analysis, restriction to Turkish data, and the absence of inter‐coder reliability.
The paper summarizes spectrogram and gives practical application of spectrogram in signal processing. For analysis, finger-snapping is recorded with a sampling rate of 441000 Hz and 96000 Hz. The effects of the number of segments on the Power Spectral Density (PSD) and spectrogram are analyzed and visualized.
This report describes our submission to track1 and track3 for VoxCeleb Speaker Recognition Challenge 2022(VoxSRC2022). Our best system achieves minDCF 0.1397 and EER 2.414 in track1, minDCF 0.388 and EER 7.030 in track3.
This document defines a method for FIR system modelling which is very trivial as it only depends on phase introduction and removal (allpass filters). As magnitude is not altered, the processing is numerically stable. It is limited to phase alteration which maintains the time domain magnitude to force a system within its linear limits.
This essay recounts my personal journey towards a deeper understanding of the mathematical foundations of algorithmic music composition. I do not spend much time on specific mathematical algorithms used by composers; rather, I focus on general issues such as fundamental limits and possibilities, by analogy with metalogic, metamathematics, and computability theory. I discuss implications from these foundations for the future of algorithmic composition.
In this work we try to perform emotional style transfer on audios. In particular, MelGAN-VC architecture is explored for various emotion-pair transfers. The generated audio is then classified using an LSTM-based emotion classifier for audio. We find that "sad" audio is generated well as compared to "happy" or "anger" as people have similar expressions of sadness.
We explore the generation of visualisations of audio latent spaces using an audio-to-image generation pipeline. We believe this can help with the interpretability of audio latent spaces. We demonstrate a variety of results on the NSynth dataset. A web demo is available.
One of the obstacles of elementary school learning process is there of material that cannot be directly observed by students. Childrens quickly get bored and not focus on materials like that. Science is one of the subject that has a lot of material that cannot be directly observed, example a global warning. Through learning media with visualization, it be expected that the material can be delivered well. There are four stages of this research, that is data requirenment, design, implementation and testing. The techniques used at the data requirenment stage are interviews and observations. Meanwhile, at the design stage, storyboards and other designs of this learning media were made. In the third stage, the previously created design is implemented by the Adobe Flash CS3 application. The final stage, the results of the design are examined by means of a questionnaire. The result of this research is a learning media made with lots of visuals so that students stay focused on the material. The suggestion of this research is that this research can be developed using a smartphone, android.
We propose the Siamese-flute method that measures the breath pressure and the acoustic sound in parallel. We fit a 6-DoF model to describe how the breath pressure affects the octave and the microtonal pitch bend, revealing the octave hysteresis. We release both our model parameters and our data analysis tools.
Ángel Iván Torres Quijije, Andrea Raquel Zuñiga Paredes
El presente trabajo consiste en el estudio de herramientas que permiten configurar un entorno de simulación o emulación de redes dentro de un mismo sistema facilitando de cierta forma plantear un escenario de red que cuenta con topologías y flujos de tráfico. Específicamente se enfocó en el modelado de tráfico en redes SDN (Redes Definidas por Software) que permite que un solo equipo administre una red en su totalidad, haciéndolo capaz de tolerar cambios en toda la estructura de la red sin necesidad de detener los servicios. Se realiza una investigación bibliográfica de fuentes de carácter documental sobre simuladores que permiten el modelado de redes para determinar la más adecuada; los instrumentos analizadas fueron: NS-3, EstiNet y MiniNet. Posteriormente de acuerdo a la información obtenida y el estudio del mismo, se realizó una tabla comparativa con los parámetros que distinguen a cada una, permitiendo de esta forma concluir de manera idónea la mejor opción para emulación de topologías en ambientes SDN.
Salah satu kendala proses belajar mengajar sekolah dasar adalah adanya materi yang tidak dapat diamati langsung oleh peserta didik. Anak-anak akan cepat jenuh dan tidak fokus pada materi-materi seperti ini. IPA merupakan salah satu mata pelajaran yang memiliki banyak materi yang tidak dapat diamati langsung, salah satunya adalah global warning. Melalui media pembelajaran dengan visualisasi, diharapkan materi tersebut dapat tersampaikan dengan baik. Ada empat tahapan penelitian ini yaitu pengumpulan data, perancangan, implentasi dan pengujian. Tekni yang digunakan pada tahap pengumpulan data adalah wawancara dan observasi. Sedangkan, pada tahap perancangan, dibuat storyboard, dan rancangan lain media pembelajaran ini. Di tahap ketiga, rancangan yang dibuat sebelumnya diimplementasikan aplikasi Adobe Flash CS3. Tahap terakhir,, hasil rancangan tersebut diteliti dengan angket. Hasil penelitian ini adalah sebuah media pembelajaran yang dibuat dengan banyak visualisi agar peserta didik tetap fokus pada materi. Saran dari penelitian ini adalah penelitian ini dapat dikembangkan dengan menggunakan smartphone, android.
This paper will present observations on the design, artistic, and human factors of creating digital music controllers. Specific projects will be presented, and a set of design principles will be supported from those examples.
We introduce a novel convolutional network architecture with an interpretable latent space for modeling guitar amplifiers. Leveraging domain knowledge of popular amplifiers spanning a range of styles, the proposed system intuitively combines or subtracts characteristics of different amplifiers, allowing musicians to design entirely new guitar timbres.
Jonas Van Breedam, Heiko Goelzer, Philippe Huybrechts
Abstract. The emphasis for informing policy makers on future sea-level rise has been on projections by the end of the 21st century. However, due to the long lifetime of atmospheric CO2, the thermal inertia of the climate system and the slow equilibration of the ice sheets, global sea level will continue to rise on a multi-millennial timescale even when anthropogenic CO2 emissions cease completely during the coming decades to centuries. Here we present global sea-level change projections due to melting of land ice combined with steric sea effects during the next 10 000 years calculated in a fully interactive way with the Earth System Model of Intermediate Complexity LOVECLIMv1.3. The climate forcing is based on the Extended Concentration Pathways defined until 2300 AD with no carbon dioxide emissions thereafter and the inclusion of a methane-emission feedback for the highest forcing scenario, equivalent to a cumulative CO2 release of around 460 to 5800 GtC. After 10 000 years, the sea-level change rate drops below 0.05 m per century and a semi-equilibrated state is reached. The Greenland ice sheet is found to nearly disappear for all forcing scenarios. The Antarctic ice sheet contributes only about 1.6 m to sea level for the lowest forcing scenario with a limited retreat of the grounding line in West Antarctica. For the higher forcing scenarios, the marine basins of the East Antarctic ice sheet also become ice free, resulting in a sea-level rise of up to 27 m. The global mean sea-level change after 10 000 years ranges from 9.2 m to more than 37 m. The projections of multi-millennial semi-equilibrated sea-level rise for a given CO2 forcing are shown to be in good agreement with geological archives.
We present the API for MUSICNTWRK, a python library for pitch class set and rhythmic sequences classification and manipulation, the generation of networks in generalized music and sound spaces, deep learning algorithms for timbre recognition, and the sonification of arbitrary data. The software is freely available under GPL 3.0 and can be downloaded at www.musicntwrk.com or installed as a PyPi project (pip install musicntwrk).
Raga is the central melodic concept in Hindustani Classical Music. It has a complex structure, often characterized by pathos. In this paper, we describe a technique for Automatic Raga Recognition, based on pitch distributions. We are able to successfully classify ragas with a commendable accuracy on our test dataset.