Papers Genre classification
“Genre classification” 태그가 달린 논문 143편 · 필터 해제
An Inclusive and Lightweight Approach to Federated Continual Learning for Cultural Heritage
Artificial intelligence can support cultural heritage and digital humanities through large-scale retrieval and analysis of digitized collections. However, cultural heritage data are often distributed across institutions,…
Genre classificationContinual LearningYMIR: A new Benchmark Dataset and Model for Arabic Yemeni Music Genre Classification Using Convolutional Neural Networks
Automatic music genre classification is a major task in music information retrieval; however, most current benchmarks and models have been developed primarily for Western music, leaving culturally specific traditions und…
Information RetrievalGenre classificationMusic Genre Classification: A Comparative Analysis of Classical Machine Learning and Deep Learning Approaches
Automatic music genre classification is a long-standing challenge in Music Information Retrieval (MIR); work on non-Western music traditions remains scarce. Nepali music encompasses culturally rich and acoustically diver…
Information RetrievalGenre classificationBangla Music Genre Classification Using Bidirectional LSTMS
Bangla music is enrich in its own music cultures. Now a days music genre classification is very significant because of the exponential increase in available music, both in digital and physical formats. It is necessary to…
Audio ClassificationGenre classificationAutomatic Detection of Complex Quotation Patterns in Aggadic Literature
This paper presents ACT (Allocate Connections between Texts), a novel three-stage algorithm for the automatic detection of biblical quotations in Rabbinic literature. Unlike existing text reuse frameworks that struggle w…
Genre classificationBlurb-Refined Inference from Crowdsourced Book Reviews using Hierarchical Genre Mining with Dual-Path Graph Convolutions
Accurate book genre classification is fundamental to digital library organization, content discovery, and personalized recommendation. Existing approaches typically model genre prediction as a flat, single-label task, ig…
Genre classificationParallel Algorithms for Structured Sparse Support Vector Machines: Application in Music Genre Classification
Mathematical modelling, particularly through approaches such as structured sparse support vector machines (SS-SVM), plays a crucial role in processing data with complex feature structures, yet efficient algorithms for di…
Information RetrievalGenre classificationLLMs Know More Than Words: A Genre Study with Syntax, Metaphor & Phonetics
Large language models (LLMs) demonstrate remarkable potential across diverse language related tasks, yet whether they capture deeper linguistic properties, such as syntactic structure, phonetic cues, and metrical pattern…
Genre classificationPhase-Aware Deep Learning with Complex-Valued CNNs for Audio Signal Applications
This study explores the design and application of Complex-Valued Convolutional Neural Networks (CVCNNs) in audio signal processing, with a focus on preserving and utilizing phase information often neglected in real-value…
Genre classificationAudio ClassificationMusic Genre Classification Using Machine Learning Techniques
This paper presents a comparative analysis of machine learning methodologies for automatic music genre classification. We evaluate the performance of classical classifiers, including Support Vector Machines (SVM) and ens…
Genre classificationFeature EngineeringMANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning
Multimodal learning has gained much success in recent years. However, current multimodal fusion methods adopt the attention mechanism of Transformers to implicitly learn the underlying correlation of multimodal features.…
Image-to-Image TranslationSemantic SegmentationGenre classificationAdvancing the Foundation Model for Music Understanding
The field of Music Information Retrieval (MIR) is fragmented, with specialized models excelling at isolated tasks. In this work, we challenge this paradigm by introducing a unified foundation model named MuFun for holist…
Information RetrievalGenre classificationQuestion AnsweringImproving BERT for Symbolic Music Understanding Using Token Denoising and Pianoroll Prediction
We propose a pre-trained BERT-like model for symbolic music understanding that achieves competitive performance across a wide range of downstream tasks. To achieve this target, we design two novel pre-training objectives…
Genre classificationCMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following
Recent advances in audio-text large language models (LLMs) have opened new possibilities for music understanding and generation. However, existing benchmarks are limited in scope, often relying on simplified tasks or mul…
Beat TrackingGenre classificationInformation RetrievalInstruction Following+5Recognizing Ornaments in Vocal Indian Art Music with Active Annotation
Ornamentations, embellishments, or microtonal inflections are essential to melodic expression across many musical traditions, adding depth, nuance, and emotional impact to performances. Recognizing ornamentations in sing…
ChunkingGenre classificationSinger IdentificationTime Series AnalysisAn Adaptive Data-Resilient Multi-Modal Framework for Hierarchical Multi-Label Book Genre Identification
Identifying the finer details of a book's genres enhances user experience by enabling efficient book discovery and personalized recommendations, ultimately improving reader engagement and satisfaction. It also provides v…
ClassificationGenre classificationMarketingAre you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation
Multimodal learning has demonstrated incredible successes by integrating diverse data sources, yet it often relies on the availability of all modalities - an assumption that rarely holds in real-world applications. Pretr…
Action RecognitionGenre classificationSentiment AnalysisProgressive Rock Music Classification
This study investigates the classification of progressive rock music, a genre characterized by complex compositions and diverse instrumentation, distinct from other musical styles. Addressing this Music Information Retri…
Audio ClassificationClassificationDimensionality ReductionGenre classification+3Predicting Movie Production Years through Facial Recognition of Actors with Machine Learning
This study used machine learning algorithms to identify actors and extract the age of actors from images taken randomly from movies. The use of images taken from Arab movies includes challenges such as non-uniform lighti…
Genre classificationBAN: Neuroanatomical Aligning in Auditory Recognition between Artificial Neural Network and Human Cortex
Drawing inspiration from neurosciences, artificial neural networks (ANNs) have evolved from shallow architectures to highly complex, deep structures, yielding exceptional performance in auditory recognition tasks. Howeve…
Genre classificationMusic Genre Classification