Papers Instrument Recognition
“Instrument Recognition” 태그가 달린 논문 45편 · 필터 해제
Audio Embeddings as Teachers for Music Classification
Music classification has been one of the most popular tasks in the field of music information retrieval. With the development of deep learning models, the last decade has seen impressive improvements in a wide range of c…
ClassificationInformation RetrievalInstrument RecognitionKnowledge Distillation+5Surgical Phase and Instrument Recognition: How to identify appropriate Dataset Splits
Purpose: Machine learning models can only be reliably evaluated if training, validation, and test data splits are representative and not affected by the absence of classes of interest. Surgical workflow and instrument re…
Data VisualizationInstrument RecognitionSelf-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level Tasks
Self-supervised learning (SSL) has emerged as a popular approach for learning audio representations. One goal of audio self-supervised pre-training is to transfer knowledge to downstream audio tasks, generally including …
Audio ClassificationAudio TaggingEvent DetectionInstrument Recognition+6Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training
In this paper, we introduce Jointist, an instrument-aware multi-instrument framework that is capable of transcribing, recognizing, and separating multiple musical instruments from an audio clip. Jointist consists of an i…
Chord RecognitionInstrument RecognitionMusic Source SeparationEfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use
In audio classification, differentiable auditory filterbanks with few parameters cover the middle ground between hard-coded spectrograms and raw audio. LEAF (arXiv:2101.08596), a Gabor-based filterbank combined with Per-…
Audio ClassificationClassificationInstrument RecognitionPitch Classification+1Jointist: Joint Learning for Multi-instrument Transcription and Its Applications
In this paper, we introduce Jointist, an instrument-aware multi-instrument framework that is capable of transcribing, recognizing, and separating multiple musical instruments from an audio clip. Jointist consists of the …
Chord RecognitionInstrument RecognitionMusic TranscriptionATST: Audio Representation Learning with Teacher-Student Transformer
Self-supervised learning (SSL) learns knowledge from a large amount of unlabeled data, and then transfers the knowledge to a specific problem with a limited number of labeled data. SSL has achieved promising results in v…
Audio ClassificationInstrument RecognitionRepresentation LearningSelf-Supervised Audio Classification+3Efficient Training of Audio Transformers with Patchout
The great success of transformer-based models in natural language processing (NLP) has led to various attempts at adapting these architectures to other domains such as vision and audio. Recent work has shown that transfo…
Acoustic Scene ClassificationAudio ClassificationAudio TaggingGPU+1ChMusic: A Traditional Chinese Music Dataset for Evaluation of Instrument Recognition
Musical instruments recognition is a widely used application for music information retrieval. As most of previous musical instruments recognition dataset focus on western musical instruments, it is difficult for research…
Information RetrievalInstrument RecognitionMusic Information RetrievalRetrievalUse of speaker recognition approaches for learning and evaluating embedding representations of musical instrument sounds
Constructing an embedding space for musical instrument sounds that can meaningfully represent new and unseen instruments is important for downstream music generation tasks such as multi-instrument synthesis and timbre tr…
Data AugmentationInstrument RecognitionMulti-Task LearningMusic Generation+2Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognition
Deep learning work on musical instrument recognition has generally focused on instrument classes for which we have abundant data. In this work, we exploit hierarchical relationships between instruments in a few-shot lear…
Few-Shot LearningInstrument RecognitionReceptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural Networks
In this paper, we study the performance of variants of well-known Convolutional Neural Network (CNN) architectures on different audio tasks. We show that tuning the Receptive Field (RF) of CNNs is crucial to their genera…
Acoustic Scene ClassificationAudio ClassificationInstrument RecognitionScene ClassificationDeep Neural Network for Musical Instrument Recognition using MFCCs
The task of efficient automatic music classification is of vital importance and forms the basis for various advanced applications of AI in the musical domain. Musical instrument recognition is the task of instrument iden…
General ClassificationInstrument RecognitionMusic ClassificationNanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy
Deep learning in gastrointestinal endoscopy can assist to improve clinical performance and be helpful to assess lesions more accurately. To this extent, semantic segmentation methods that can perform automated real-time …
Colorectal Polyps CharacterizationInstrument RecognitionMedical Image SegmentationReal-Time Semantic Segmentation+3Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
Gastrointestinal (GI) pathologies are periodically screened, biopsied, and resected using surgical tools. Usually the procedures and the treated or resected areas are not specifically tracked or analysed during or after …
BenchmarkingDiagnosticImage AugmentationInstrument Recognition+2Visual Attention for Musical Instrument Recognition
In the field of music information retrieval, the task of simultaneously identifying the presence or absence of multiple musical instruments in a polyphonic recording remains a hard problem. Previous works have seen some …
Information RetrievalInstrument RecognitionMusic Information RetrievalRetrievalCross-modal variational inference for bijective signal-symbol translation
Extraction of symbolic information from signals is an active field of research enabling numerous applications especially in the Musical Information Retrieval domain. This complex task, that is also related to other topic…
Audio GenerationDensity EstimationInformation RetrievalInstrument Recognition+4Predominant Musical Instrument Classification based on Spectral Features
This work aims to examine one of the cornerstone problems of Musical Instrument Retrieval (MIR), in particular, instrument classification. IRMAS (Instrument recognition in Musical Audio Signals) data set is chosen for th…
ClassificationClusteringGeneral ClassificationInstrument Recognition+2Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music
Instrument classification is one of the fields in Music Information Retrieval (MIR) that has attracted a lot of research interest. However, the majority of that is dealing with monophonic music, while efforts on polyphon…
ClassificationData AugmentationGeneral ClassificationInformation Retrieval+3An Attention Mechanism for Musical Instrument Recognition
While the automatic recognition of musical instruments has seen significant progress, the task is still considered hard for music featuring multiple instruments as opposed to single instrument recordings. Datasets for po…
Instrument Recognition