Speech/music discrimination for analysis of radio stations

Kacprzak, Stanisław; Chwiecko, Blazej; Ziółko, Bartosz

doi:10.1109/iwssip.2017.7965606

Cited by 5 publications

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A measure based on energy, called Minimum Energy Density (MED), was applied to the binary speech/music classification in the radio broadcasts in [12], for the Polish language. The primary motivation of the study was to provide information about the contents of the radio stations.…”

Section: Related Workmentioning

confidence: 99%

Comparison of four classifiers for speech-music discrimination: a first case study for costa rican radio broadcasting

Sánchez-Solís¹,

Coto-Jiménez²

2022

View full text Add to dashboard Cite

During the past decades, a vast amount of audio data has be- come available in most languages and regions of the world. The efficient organization and manipulation of this data are important for tasks such as data classification, searching for information, diarization among many others, but also can be relevant for building corpora for training models for automatic speech recognition or building speech synthesis systems. Several of those tasks require extensive testing and data for specific languages and accents, especially when the development of communication systems with machines is a goal. In this work, we explore the application of several classifiers for the task of discriminating speech and music in Costa Rican radio broadcast. This discrimination is a first task in the exploration of a large corpus, to determine whether or not the available information is useful for particular research areas. The main contribution of this exploratory work is the general procedure and selection of algorithms for the Costa Rican radio corpus, which can lead to the extensive use of this source of data in many own applications and systems.

show abstract

Section: Related Workmentioning

confidence: 99%