[PDF][PDF] librosa: Audio and music signal analysis in python.
This document describes version 0.4. 0 of librosa: a Python package for audio and music
signal processing. At a high level, librosa provides implementations of a variety of common …
signal processing. At a high level, librosa provides implementations of a variety of common …
Improved musical onset detection with convolutional neural networks
J Schlüter, S Böck - 2014 ieee international conference on …, 2014 - ieeexplore.ieee.org
Musical onset detection is one of the most elementary tasks in music analysis, but still only
solved imperfectly for polyphonic music signals. Interpreted as a computer vision problem in …
solved imperfectly for polyphonic music signals. Interpreted as a computer vision problem in …
Long-term rhythmic video soundtracker
We consider the problem of generating musical soundtracks in sync with rhythmic visual
cues. Most existing works rely on pre-defined music representations, leading to the …
cues. Most existing works rely on pre-defined music representations, leading to the …
[PDF][PDF] Maximum filter vibrato suppression for onset detection
We present SuperFlux-a new onset detection algorithm with vibrato suppression. It is an
enhanced version of the universal spectral flux onset detection algorithm, and reduces the …
enhanced version of the universal spectral flux onset detection algorithm, and reduces the …
Multi-resolution linear prediction based features for audio onset detection with bidirectional LSTM neural networks
A plethora of different onset detection methods have been proposed in the recent years.
However, few attempts have been made with respect to widely-applicable approaches in …
However, few attempts have been made with respect to widely-applicable approaches in …
[PDF][PDF] Rhythmic Pattern Modeling for Beat and Downbeat Tracking in Musical Audio.
Rhythmic patterns are an important structural element in music. This paper investigates the
use of rhythmic pattern modeling to infer metrical structure in musical audio recordings. We …
use of rhythmic pattern modeling to infer metrical structure in musical audio recordings. We …
Open-source practices for music signal processing research: Recommendations for transparent, sustainable, and reproducible audio research
In the early years of music information retrieval (MIR), research problems were often
centered around conceptually simple tasks, and methods were evaluated on small …
centered around conceptually simple tasks, and methods were evaluated on small …
[HTML][HTML] A novel attention model across heterogeneous features for stuttering event detection
AK Al-Banna, H Fang, E Edirisinghe - Expert Systems With Applications, 2024 - Elsevier
Stuttering is a prevalent speech disorder affecting millions worldwide. To provide an
automatic and objective stuttering assessment tool, Stuttering Event Detection (SED) is …
automatic and objective stuttering assessment tool, Stuttering Event Detection (SED) is …
A rhythm practice support system with annotation-free real-time onset detection
M Yamada, O Doeda, A Matsuo… - … , concepts, theory, and …, 2017 - ieeexplore.ieee.org
In this paper, we discuss a system for musicians to practice rhythm with a musical
instrument. Our system offers real-time visual feedback to the user about the rhythm played …
instrument. Our system offers real-time visual feedback to the user about the rhythm played …
A personalizable mobile sound detector app design for deaf and hard-of-hearing users
Sounds provide informative signals about the world around us. In situations where non-
auditory cues are inaccessible, it can be useful for deaf and hard-of-hearing people to be …
auditory cues are inaccessible, it can be useful for deaf and hard-of-hearing people to be …