English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The three packages libACA, pyACA, and ACA-Code provide referenceimplementations for basic approaches and algorithms for the analysis of musicalaudio signals in three different languages: C++, Python, and Matlab. All threepackages cover the same algorithms, such as extraction of low level audiofeatures, fundamental frequency estimation, as well as simple approaches tochord recognition, musical key detection, and onset detection. In addition, itimplementations of more generic algorithms useful in audio content analysissuch as dynamic time warping and the Viterbi algorithm are provided. The threepackages thus provide a practical cross-language and cross-platform referenceto students and engineers implementing audio analysis algorithms and enableimplementation-focused learning of algorithms for audio content analysis andmusic information retrieval.

libACA, pyACA, and ACA-Code: Audio Content Analysis in 3 Languages