Intelligent Audio Analysis

This book discusses the typical Intelligent Audio Analysis chain running from audio data to features to recognition. Offers several applications in speech, music, and general sound, plus benchmark results and standardized test-beds for audio analysis tasks.

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.

Provides benchmark results and standardised test-beds for a broader range of audio analysis tasks Extends the range of Intelligent Audio Analysis application by showing its potential in new tasks Stimulates synergies arising from transfer of methods and lead to a holistic audio analysis Shows deficiencies in current approaches and sketches future perspectives Includes supplementary material: sn.pub/extras

Autorentext
Björn Schuller studierte an der Technischen Universität München Elektrotechnik und Informationstechnik und wurde 2006 in diesem Gebiet promoviert. Aktuell ist er nach gastwissenschaftlichen Aufenthalten am CNRS-LIMSI bei Paris und im Computing Department des Imperial College London zu den Forschungsthemen der intelligenten Sprach- und Bildverarbeitung in den Jahren 2009 und 2010 als Dozent für Audiosignalverarbeitung und Mustererkennung an der TU München im Rahmen seiner Habilitation in Lehre und Forschung tätig. In diesen Bereichen finden sich auch seine über 150 wissenschaftlichen Publikationen sowie Editor- und Gutachtertätigkeiten für über 20 renommierte wissenschaftliche Journale.

Inhalt
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.