Titlebook: Computational Analysis of Sound Scenes and Events; Tuomas Virtanen,Mark D. Plumbley,Dan Ellis Book 2018 Springer International Publishing

饶舌的人

Deanna Kerrigan,Clare Barringtonvaluation procedure for a classification or recognition system will involve a standard dataset of example input data along with the intended target output, and well-defined metrics to compare the systems’ outputs with this ground truth. This chapter examines the important factors in the design and c

大方不好

Christoph Butenweg,Britta Holtschoppengories to make sense of their environment. We begin with an overview of prominent theories of categorization in the psychological literature, followed by data collection and analysis methods used in empirical research on categorization with human participants. We then focus on auditory categorizatio

IDEAS

松驰

Morose

Structural Electron Crystallography sharing sites in which users can search, browse, and contribute large amounts of audio content such as sound effects, field and urban recordings, music tracks, and music samples. This poses many challenges to enable search, discovery, and ultimately reuse of this content. In this chapter we give an

完成

Temporal-Lobe

Crystallization and Data Collectioneviews three aspects of the productization of AER which are important to consider when developing pathways to impact between fundamental research and “real-world” applicative outlets. In the first section, it is shown that applications introduce a variety of practical constraints which elicit new re

定点

唤醒

laceration

Tuomas Virtanen,Mark D. Plumbley,Dan EllisGives an overview of methods for computational analysis of sounds scenes and events, allowing those new to the field to become fully informed.Covers all the aspects of the machine learning approach to