Now showing items 1-4 of 4
An End-to-End Neural Network for Polyphonic Music Transcription
We present a neural network model for polyphonic music transcription. The architecture of the proposed model is analogous to speech recognition systems and comprises an acoustic model and a music language mode}. The acoustic ...
An evaluation framework for event detection using a morphological model of acoustic scenes
This paper introduces a model of environmental acoustic scenes which adopts a morphological approach by ab-stracting temporal structures of acoustic scenes. To demonstrate its potential, this model is employed to evaluate ...
Acoustic Scene Classification
In this article we present an account of the state-of-the-art in acoustic scene classification (ASC), the task of classifying environments from the sounds they produce. Starting from a historical review of previous research ...
On-bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts
We introduce a novel approach to studying animal behaviour and the context in which it occurs, through the use of microphone backpacks carried on the backs of individual free-flying birds. These sensors are increasingly ...