Text-guided diffusion models catalyze a paradigm shift in audio generation, facilitating the adaptability of source audio to conform to specific textual prompts. Recent advancements introduce inversion techniques, like DDIM inversion, to zero-shot editing, exploiting pre-trained diffusion models for audio modification. Nonetheless, our investigation exposes that DDIM inversion suffers from an accumulation of errors across each diffusion step, undermining its efficacy. And the lack of attention control hinders the fine-grained manipulations of music. To counteract these limitations, we introduce the Disentangled Inversion technique, which is designed to disentangle the diffusion process into triple branches, thereby magnifying their individual capabilities for both precise editing and preservation. Furthermore, we propose the Harmonized Attention Control framework, which unifies the mutual self-attention and cross-attention with an additional Harmonic Branch to achieve the desired composition and structural information in the target music. Collectively, these innovations comprise the Disentangled Inversion Control (DIC) framework, enabling accurate music editing whilst safeguarding structural integrity. To benchmark audio editing efficacy, we introduce ZoME-Bench, a comprehensive music editing benchmark hosting 1,100 samples spread across 10 distinct editing categories, which facilitates both zero-shot and instruction-based music editing tasks. Our method demonstrates unparalleled performance in edit fidelity and essential content preservation, outperforming contemporary state-of-the-art inversion techniques. 34 * Equal contribution † Corresponding Author 3 Audio samples are available at https://MEDIC-Zero.github.io/.
The cold and reaction flow fields of a combustor with two coaxial swirlers are investigated by means of large eddy simulation. Effective data processing methods such as proper orthogonal decomposition and fast Fourier transform are employed for analysis. The complex flow phenomena such as swirling jet, shear layer, recirculation zone, and precession vortex core are observed and their characteristics are analyzed. The dynamics of the flame and its interactions with the complex swirling flows and large-scale eddies are characterized. The precession vortex core structures and its influences on the combustion process are emphatically explored. It is found that the outer shear layer produces spiral precession vortex core cantilever structures and the change of structural characteristics of the PVC determines the pressure pulsation frequency of the combustor. The results also indicate precession vortex core accelerates the mixing of unburned and burned mixture, leading to the ignition. The principal structures are studied by determining the highest energy modes via proper orthogonal decomposition. The modes are classified according to energy size. By means of proper orthogonal decomposition four-decomposition method, the vortexes of different energy and scales in swirling flow field are classified and analyzed in detail, the flow field is reconstructed, and the large-scale coherent structures and small energy flow structures are obtained. A spectral map of the turbulent kinetic energy density exhibits the −5/3 slope given by the Kolmogorov–Obukhov law. Based on the analysis of the vortex structures and their evolution, and the analysis of the transports and distributions of flow field characteristic parameters, a novel unsteady swirling flow combustion organization mechanism is proposed. It is found that combustion mainly occurs in low-energy small-scale vortexes, releasing a large amount of heat. High-temperature gas enters the recirculation zone and continues to provide energy for the precession vortex cores.
Customer's service expectations are a range of services between desired service and adequate service. zone of tolerance between desired service and adequate service can either be reduced or be expanded for a customer. Therefore, marketers must not only understand the size of the area and boundaries of zone of tolerance, but also know when and how changes of the zone of tolerance for a given customer.In this paper three problems are studied:when do customers tend to reduce the impact of the negative service quality? When do customers tend to enlarge the impact?when do customers tend to filter the negative impact? Keywords: Perceived service quality; zone of tolerance; Weber-Fechner's LawParasuraman、Zeithaml and Berry's study results extended the customer's expectations from a point to a region. When the actual service performance is lower than tolerance zone, the customer will feel unsatisfied,and customer's loyalty also decreased. When the service performance is higher than the tolerance zone, the customer will feel pleasure and enhance loyalty. But the customers in zone of tolerance will be satisfied with the service performance, and they are not sensitive to the differences of service performance.For the customers,they developt relations with the enterprise and perceive service quality through service contacts, so companies have to manage the customer's perceived service quality. This requires that companies must first understand the customer service experience in the process of change of zone of tolerance,and should manage it actively. Enterprises should take advantage of the characteristics of customer perception in the zone of tolerance and change their service mode in the zone of tolerance. Enterprises can reduce costs under the conditions without affecting the service quality of customer perceived. when do customers tend to reduce the impact of the negative service quality? When do customers tend to enlarge the impact?when do customers tend to filter the negative impact? Solving these three problems have practical significance for the determination of a reasonable level of service quality and the lower service costs under the condition of customer satisfaction. Ⅰ. Weber-Fechner's Law and Definition of customer perceived relationship Weber -Fechner's law describes the relationship between psychological state of individuals (mental physical) and external stimuli (physical) . the basic formula is: I a S log = To the formula, S stands for the value of feels , I stands for the value of stimuli and a is constant.This formula demonstrates when the various stimuli (such as information, services, advertising) from outside environment change as logarithmic function, the statement perceived by individual can be changed. S is also known as JND and JND is a psychological physical value.The function relationship between JND and amount of stimulation I show figure 1: 978-1-4244-6581-1/11/$26.00 ©2011 IEEE
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