The database contains in total 28 music files and 30 speech files. Each file is a 20 s excerpt where the howling is simulated to start between the 8th and 9th second. This is simulated by feeding the music or speech source signal to a closed-loop system with a varying broadband gain. A total of 8 acoustic impulse responses (AIRs) were used for the simulations, hence covering a wide range of howling frequencies. The final dataset1 contains fewer excerpts than the number of excerpts originally generated, as it went through a pruning step conducted by three experts, aiming to eliminate unsuitable examples (exhibiting howling at multiple howling frequencies or no howling at all). For more details see Ch.7 of "Acoustic Event Detection: Feature, ...
Microphone handling noise can reduce the quality of audio recordings. A perceptual study into this ...
Harsh vocal effects such as screams or growls are far more common in heavy metal vocals than the tra...
This thesis is a first approach to creating and evaluating algorithms whose aim is to detect an unwa...
International audienceThis paper presents an algorithm for the detection of howlings that arise in a...
The existing adaptive echo cancellation based howling (typically in hearing aids) removal methods ha...
It takes more time to think of a silent scene, action or event than finding one that emanates sound....
VOICe: A novel dataset for the development and evaluation of generalizable sound event detection dom...
This paper describes an approach for an audio event detection system in noisy environments. The syst...
In this paper, a method for the suppression of acoustic howling is developed, based on adaptive notc...
This paper describes an audio event detection system which au-tomatically classifies an audio event ...
AbstractHowling noise is a common phenomenon in a public address system. It is built up due to the a...
This paper proposes a robust scream-sound detection scheme for acoustic surveillance applications. T...
A signal can be said to be any information bearing unit or action carrying a message from a sender t...
Screaming is arguably one of the most relevant communication signals for survival in humans. Despite...
In many situations a speech signal may be corrupted by additive noise, thus reducing the intelligibi...
Microphone handling noise can reduce the quality of audio recordings. A perceptual study into this ...
Harsh vocal effects such as screams or growls are far more common in heavy metal vocals than the tra...
This thesis is a first approach to creating and evaluating algorithms whose aim is to detect an unwa...
International audienceThis paper presents an algorithm for the detection of howlings that arise in a...
The existing adaptive echo cancellation based howling (typically in hearing aids) removal methods ha...
It takes more time to think of a silent scene, action or event than finding one that emanates sound....
VOICe: A novel dataset for the development and evaluation of generalizable sound event detection dom...
This paper describes an approach for an audio event detection system in noisy environments. The syst...
In this paper, a method for the suppression of acoustic howling is developed, based on adaptive notc...
This paper describes an audio event detection system which au-tomatically classifies an audio event ...
AbstractHowling noise is a common phenomenon in a public address system. It is built up due to the a...
This paper proposes a robust scream-sound detection scheme for acoustic surveillance applications. T...
A signal can be said to be any information bearing unit or action carrying a message from a sender t...
Screaming is arguably one of the most relevant communication signals for survival in humans. Despite...
In many situations a speech signal may be corrupted by additive noise, thus reducing the intelligibi...
Microphone handling noise can reduce the quality of audio recordings. A perceptual study into this ...
Harsh vocal effects such as screams or growls are far more common in heavy metal vocals than the tra...
This thesis is a first approach to creating and evaluating algorithms whose aim is to detect an unwa...