The main paper deals with the analysis of the methods of processing and recognition of events in the audio signal and the implementation of the selected method in real use. Recognized events are gunshots placed in a background sound such as traffic noise, human voice, animal sounds and other forms of environmental sounds. For events classification and class recognition, the freely available machine learning framework TensorFlow is used
This paper presents the Real-Life Indoor Sound Event Dataset (ReaLISED), a new database which has be...
This book presents computational methods for extracting the useful information from audio signals, c...
Research work on automatic speech recognition and automatic music transcription has been around for ...
This paper deals with processing and recognition of events in audio signal. The work explores the po...
As an important information carrier, sound carries abundant information about the environment, which...
Audio surveillance is gaining in the last years wide interest. This is due to the large number of si...
Audio surveillance is gaining in the last years wide interest. This is due to the large number of si...
The objective of this thesis is to develop novel classification and feature learning techniques for t...
The research domain of automatic sound event recognition aims to describe an audio signal in terms o...
The human activity that takes place in meeting rooms or classrooms is reflected in a rich variety of...
The automatic recognition of sound events by computers is an important aspect of emerging applicatio...
A recognition system for environmental sounds is presented. Signal-driven classification is performe...
Recently, neural network-based deep learning methods have been popularly applied to computer vision,...
Part 2: 8th Mining Humanistic Data WorkshopInternational audienceThis paper proposes a method for re...
Microphones enable computers to receive audio signals as an input, and in turn, enable sound surveil...
This paper presents the Real-Life Indoor Sound Event Dataset (ReaLISED), a new database which has be...
This book presents computational methods for extracting the useful information from audio signals, c...
Research work on automatic speech recognition and automatic music transcription has been around for ...
This paper deals with processing and recognition of events in audio signal. The work explores the po...
As an important information carrier, sound carries abundant information about the environment, which...
Audio surveillance is gaining in the last years wide interest. This is due to the large number of si...
Audio surveillance is gaining in the last years wide interest. This is due to the large number of si...
The objective of this thesis is to develop novel classification and feature learning techniques for t...
The research domain of automatic sound event recognition aims to describe an audio signal in terms o...
The human activity that takes place in meeting rooms or classrooms is reflected in a rich variety of...
The automatic recognition of sound events by computers is an important aspect of emerging applicatio...
A recognition system for environmental sounds is presented. Signal-driven classification is performe...
Recently, neural network-based deep learning methods have been popularly applied to computer vision,...
Part 2: 8th Mining Humanistic Data WorkshopInternational audienceThis paper proposes a method for re...
Microphones enable computers to receive audio signals as an input, and in turn, enable sound surveil...
This paper presents the Real-Life Indoor Sound Event Dataset (ReaLISED), a new database which has be...
This book presents computational methods for extracting the useful information from audio signals, c...
Research work on automatic speech recognition and automatic music transcription has been around for ...