The utilization of deep learning techniques in generating various contents (such as image, text, etc.) has become a trend. Especially music, the topic this paper, attracted widespread attention countless researchers.The whole process producing music can be divided into three stages, corresponding to levels generation: score generation produces scores, performance adds characteristics and audio converts scores with by assigning timbre or generates format directly. Previous surveys have...

In this paper, we developed a hyperspectral transmission microscopic imaging (HTMI) system for rapid detection of pathogenic bacteria, which can realize precise identification and classification mixed bacteria to single-bacterium level.The works in transillumination patterns self-developed dispersive module is used as the setup, providing spectral images with high SNR, showing excellent performances spatial resolution 2.19 µm resolutions less than 1 nm.Hyperspectral five types low...

Automatic music generation is the combination of artificial intelligence and art, in which melody harmonization a significant challenging task. However, previous recurrent neural network (RNN)-based work fails to maintain long-term dependency neglects guidance theory. In this article, we first devise universal chord representation with fixed small dimension, can cover most existing chords easy expand. Then novel system based on reinforcement learning (RL), RL-Chord, proposed generate...

Music emotion recognition (MER), a sub-task of music information retrieval (MIR), has developed rapidly in recent years. However, the learning affect-salient features remains challenge. In this paper, we propose an end-to-end attention-based deep feature fusion (ADFF) approach for MER. Only taking log Mel-spectrogram as input, method uses adapted VGGNet spatial module (SFLM) to obtain across different levels. Then, these are fed into squeeze-and-excitation (SE) temporal (TFLM) get...

Reasoning, a crucial aspect of NLP research, has not been adequately addressed by prevailing models including Large Language Model. Conversation reasoning, as critical component it, remains largely unexplored due to the absence welldesigned cognitive model. In this paper, inspired intuition theory on conversation cognition, we develop model (CCM) that explains how each utterance receives and activates channels information recursively. Besides, algebraically transformed CCM into structural...

As various multimedia communication services are increasingly required by Internet users, several signaling protocols have been proposed for the efficient control of services. However, model and architecture conferencing several. In this article, we first introduce some SIP architectures, their advantages, disadvantages performance. According to a centralized model, construct feasible system architecture, which can support middle scale conference. After that analysis key technologies in...

The regional recognition of Chinese folk songs is not only conducive to discovering music characteristics and styles specific geographical songs, but also has important research value in the existing information retrieval system. In this paper, an effective novel approach for proposed, which based on fusion auditory perception visual features using ensemble SVM classifier. When are extracted, temporal relation among frame fully considered. For features, color time-frequency maps used replace...

Abstract It is one of the ascendant research topics to study ancient literature by means digital humanities technology, construct historical scene literature, restore writer’s creative prosperity and excavate era value books. The reconstruction books has greatly impacted preservation inheritance literary resources. As an important carrier have many texts that need be identified, it isn’t easy disseminate in information age due their text form. This paper uses computer image processing...

Reasoning, a crucial aspect of NLP research, has not been adequately addressed by prevailing models including Large Language Model. Conversation reasoning, as critical component it, remains largely unexplored due to the absence well-designed cognitive model. In this paper, inspired intuition theory on conversation cognition, we develop model (CCM) that explains how each utterance receives and activates channels information recursively. Besides, algebraically transformed CCM into structural...