1.

Record Nr.

UNINA9910438056703321

Autore

Schuller Bjorn W

Titolo

Intelligent audio analysis / / Bjorn W. Schuller

Pubbl/distr/stampa

Berlin, : Springer, 2013

ISBN

9783642368066

3642368069

Edizione

[1st ed. 2013.]

Descrizione fisica

1 online resource (358 p.)

Collana

Signals and Communication Technology, , 1860-4862

Disciplina

621.382

Soggetti

Machine learning

Artificial intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Part I Introduction -- Intelligent Audio Analysis: a Definition -- Motivation, Aims, and Solutions -- Structure of this book -- Part II Intelligent Audio Analysis Methods -- Chain of Processing -- Audio Data -- Audio Features -- Audio Recognition -- Audio Source Separation: openBlissART -- Audio Enhancement and Robustness -- Part III Intelligent Audio Analysis Applications -- Applications in Intelligent Speech Analysis -- Applications in Intelligent Music Analysis -- Applications in Intelligent Sound Analysis -- Part IV Conclusion -- Discussion -- Vision -- openSMILE Standardised Feature Sets.

Sommario/riassunto

This book provides the reader with the knowledge necessary for comprehension of the field of Intelligent Audio Analysis. It firstly introduces standard methods and discusses the typical Intelligent Audio Analysis chain going from audio data to audio features to audio recognition.  Further, an introduction to audio source separation, and enhancement and robustness are given. After the introductory parts, the book shows several applications for the three types of audio: speech, music, and general sound. Each task is shortly introduced, followed by a description of the specific data and methods applied, experiments and results, and a conclusion for this specific task. The books provides benchmark results and standardized test-beds for a broader range of audio analysis tasks. The main focus thereby lies on the parallel advancement of realism in audio analysis, as too often



today’s results are overly optimistic owing to idealized testing conditions, and it serves to stimulate synergies arising from transfer of methods and leads to a holistic audio analysis.