Papers Onset Detection
“Onset Detection” 태그가 달린 논문 34편 · 필터 해제
Streaming Piano Transcription Based on Consistent Onset and Offset Decoding with Sustain Pedal Detection
This paper describes a streaming audio-to-MIDI piano transcription approach that aims to sequentially translate a music signal into a sequence of note onset and offset events. The sequence-to-sequence nature of this task…
DecoderOnset DetectionA Transferable Physics-Informed Framework for Battery Degradation Diagnosis, Knee-Onset Detection and Knee Prediction
The techno-economic and safety concerns of battery capacity knee occurrence call for developing online knee detection and prediction methods as an advanced battery management system (BMS) function. To address this, a tra…
Feature EngineeringOnset DetectionPrognosisLong-Term EEG Partitioning for Seizure Onset Detection
Deep learning models have recently shown great success in classifying epileptic patients using EEG recordings. Unfortunately, classification-based methods lack a sound mechanism to detect the onset of seizure events. In …
ClusteringEEGOnset DetectionChirp Group Delay based Onset Detection in Instruments with Fast Attack
The onset of a musical note is the earliest time at which a note can be reliably detected. Detection of these musical onsets pose challenges in the presence of ornamentation such as vibrato, bending, and if the attack of…
Onset DetectionVSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG
An accurate and efficient epileptic seizure onset detection can significantly benefit patients. Traditional diagnostic methods, primarily relying on electroencephalograms (EEGs), often result in cumbersome and non-portab…
Action RecognitionDecision MakingDiagnosticEEG+4MERTech: Instrument Playing Technique Detection Using Self-Supervised Pretrained Model With Multi-Task Finetuning
Instrument playing techniques (IPTs) constitute a pivotal component of musical expression. However, the development of automatic IPT detection methods suffers from limited labeled data and inherent class imbalance issues…
Instrument Playing Technique DetectionOnset DetectionSelf-Supervised LearningMachine Learning Approaches to Predict and Detect Early-Onset of Digital Dermatitis in Dairy Cows using Sensor Data
The aim of this study was to employ machine learning algorithms based on sensor behavior data for (1) early-onset detection of digital dermatitis (DD); and (2) DD prediction in dairy cows. With the ultimate goal to set-u…
DiagnosticManagementOnset DetectionTowards trustworthy seizure onset detection using workflow notes
A major barrier to deploying healthcare AI models is their trustworthiness. One form of trustworthiness is a model's robustness across different subgroups: while existing models may exhibit expert-level performance on ag…
EEGOnset DetectionA Phoneme-Informed Neural Network Model for Note-Level Singing Transcription
Note-level automatic music transcription is one of the most representative music information retrieval (MIR) tasks and has been studied for various instruments to understand music. However, due to the lack of high-qualit…
Information RetrievalMusic Information RetrievalMusic TranscriptionOnset Detection+1Lithium-ion Battery Online Knee Onset Detection by Matrix Profile
Lithium-ion batteries (LiBs) degrade slightly until the knee onset, after which the deterioration accelerates to end of life (EOL). The knee onset, which marks the initiation of the accelerated degradation rate, is cruci…
Dynamic Time WarpingOnset DetectionGrid-Based Decimation for Wavelet Transforms with Stably Invertible Implementation
The constant center frequency to bandwidth ratio (Q-factor) of wavelet transforms provides a very natural representation for audio data. However, invertible wavelet transforms have either required non-uniform decimation …
Onset DetectionAutomatic Transcription of Drum Strokes in Carnatic Music
The mridangam is a double-headed percussion instrument that plays a key role in Carnatic music concerts. This paper presents a novel automatic transcription algorithm to classify the strokes played on the mridangam. Onse…
Onset DetectionAnnotation of Soft Onsets in String Ensemble Recordings
Onset detection is the process of identifying the start points of musical note events within an audio recording. While the detection of percussive onsets is often considered a solved problem, soft onsets-as found in stri…
Onset DetectionThe Efficacy of Self-Supervised Speech Models for Audio Representations
Self-supervised learning (SSL) speech models, which can serve as powerful upstream models to extract meaningful speech representations, have achieved unprecedented success in speech representation learning. However, thei…
Onset DetectionPitch ClassificationRepresentation LearningSelf-Supervised Learning+1A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm
In a self-paced motor-imagery brain-computer interface (MI-BCI), the onsets of the MI commands presented in a continuous electroencephalogram (EEG) signal are unknown. To detect these onsets, most self-paced approaches a…
Brain Computer InterfaceDecoderEEGElectroencephalogram (EEG)+5Significant Low-dimensional Spectral-temporal Features for Seizure Detection
Seizure onset detection in electroencephalography (EEG) signals is a challenging task due to the non-stereotyped seizure activities as well as their stochastic and non-stationary characteristics in nature. Joint spectral…
EEGElectroencephalogram (EEG)Onset DetectionSeizure DetectionMusical Tempo Estimation Using a Multi-scale Network
Recently, some single-step systems without onset detection have shown their effectiveness in automatic musical tempo estimation. Following the success of these systems, in this paper we propose a Multi-scale Grouped Atte…
Onset DetectionScorpiano -- A System for Automatic Music Transcription for Monophonic Piano Music
Music transcription is the process of transcribing music audio into music notation. It is a field in which the machines still cannot beat human performance. The main motivation for automatic music transcription is to mak…
Music TranscriptionOnset DetectionSleep syndromes onset detection based on automatic sleep staging algorithm
In this paper, we propose a novel method and a practical approach to predicting early onsets of sleep syndromes, including restless leg syndrome, insomnia, based on an algorithm that is comprised of two modules. A Fast F…
EEGElectroencephalogram (EEG)Onset DetectionSleep StagingAn algorithm for onset detection of linguistic segments in continuous electroencephalogram signals
A Brain Computer Interface based on imagined words can decode the word a subject is thinking on through brain signals to control an external device. In order to build a fully asynchronous Brain Computer Interface based o…
Brain Computer InterfaceOnset Detection