© 2013

Intelligent 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


Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages i-xxviii
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Björn Schuller
      Pages 3-6
    3. Björn Schuller
      Pages 7-11
    4. Björn Schuller
      Pages 13-14
  3. Intelligent Audio Analysis Methods

    1. Front Matter
      Pages 15-15
    2. Björn Schuller
      Pages 17-22
    3. Björn Schuller
      Pages 23-40
    4. Björn Schuller
      Pages 41-97
    5. Björn Schuller
      Pages 99-138
    6. Björn Schuller
      Pages 139-147
    7. Björn Schuller
      Pages 149-165
  4. Intelligent Audio Analysis Applications

    1. Front Matter
      Pages 167-167
    2. Björn Schuller
      Pages 169-223
    3. Björn Schuller
      Pages 225-298
    4. Björn Schuller
      Pages 299-314
  5. Conclusion

    1. Front Matter
      Pages 315-315
    2. Björn Schuller
      Pages 317-334
    3. Björn Schuller
      Pages 335-337
  6. Back Matter
    Pages 339-345

About this book


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.


Audio Enhancement Audio Robustness Audio Source Separation Fully Automatic Chunking Music Information Retrieval OpenBlissART QpenSMILE

Authors and affiliations

  1. 1.LS für Mensch-Maschine-KommunikationTU MünchenMünchenGermany

Bibliographic information

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