In this report we present an overview of the approaches and techniques that are used in the
task of automatic audio segmentation. Audio segmentation aims to find changing points in …

Speech summarisation techniques take human speech as input and then output an
abridged version as text or speech. Speech summarisation has applications in many …

Speech summarization techniques take human speech as input and then output an
abridged version as text or speech. Speech summarization has applications in many …

Current speech recognition systems are based on speaker independent speech models and
suffer from inter-speaker variations in speech signal characteristics. This work develops an …

This paper describes briefly the objectives, content, and usage of a real-time UML profile
that has been standardized by the Object Management Group. This profile defines a …

Automatic audio content recognition has attracted an increasing attention for developing
multimedia systems, for which the most popular approaches combine frame-based features …

A novel movie audio summarization framework is presented, which consists of three
processing levels, namely, low-level audio feature extraction, mid-level audio event …

Speech recognition offers an intuitive and convenient interface to control technical devices.
Improvements achieved through ongoing research activities enable the user to handle …

This Master thesis investigates the application of Bidirectional Encoder Representations
from Transformers (BERT) on podcast to identify the host and detect structuring questions …

Aiming to an automatic sound recognizer for radio broadcasting events, a methodology of
clustering the audio feature space using the discrimination ability of the audio descriptors as …