arXiv:1908.07409
공식 코드 · Papers with Code
Onset detection: A new approach to QBH system
원문 초록
Query by Humming (QBH) is a system to provide a user with the song(s) which the user hums to the system. Current QBH method requires the extraction of onset and pitch information in order to track similarity with various versions of different songs. However, we here focus on detecting precise onsets only and use them to build a QBH system which is better than existing methods in terms of speed and memory and empirically in terms of accuracy. We also provide statistical analogy for onset detection functions and provide a measure of error in our algorithm.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG
MERTech: Instrument Playing Technique Detection Using Self-Supervised Pretrained Model With Multi-Task Finetuning
Towards trustworthy seizure onset detection using workflow notes
Annotation of Soft Onsets in String Ensemble Recordings
The Efficacy of Self-Supervised Speech Models for Audio Representations
Scorpiano -- A System for Automatic Music Transcription for Monophonic Piano Music
토론
이 논문과 연결된 포럼 글이 아직 없습니다.