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Computational Auditory Scene Analysis

What is CASA?

(Brief Overview)

Goals

(Top edit on existing material with added application information)

Cocktail party processor

Applications

(Brief overview, will be expanded later in the article)

Compared with ASR

Difference between ASR (automatic speech recognition) and CASA [1]


Basics of CASA Systems

Human ASA

(The main neuroscience part of the article)[2]

Structure and Function of the Auditory System

Will include neuroanatomy and function (but with a focus of CASA application) of the following:

a. Auditory periphery

b. Cochlea

c. Movements of the basilar membrane

d. Auditory nerve responses

e. Auditory cortex

System Architecture

(brand new information to page)

Cochleagram

(brand new information to page)

Correlogram

(brand new information to page)[3]

Cross-Correlogram

(brand new information to page)

Time-Frequency Masks

(brand new information to page)

Resynthesis

(brand new information to page)

Evaluation of CASA systems

Will include the following:

a. Comparison with Clean Target Signal

b. Automatic Recognition Measure

c. Human Listening

d. Correspondence with Biological Data

Applications

(in this section, addition to current information)[4]

Monaural CASA

(historical)

Binaural CASA

(historical)

Neural CASA Models

(current)

Analysis of Musical Audio Signals

(current)[5]

Neural Perceptual Modeling

(current)

See also

Auditory scene analysis

References

  1. ^ Wang, DeLiang, “Computational Scene Analysis”, Challenges for Computational Intelligence, Springer, Berlin, pp. 163-191, 2007.
  2. ^ Wang, DeLiang, “Computational Scene Analysis”, Challenges for Computational Intelligence, Springer, Berlin, pp. 163-191, 2007.
  3. ^ Wang, DeLiang. Computational Auditory Scene Analysis: Principles, Algorithms, And Applications. Hoboken, N.J.: Wiley interscience , 2006.
  4. ^ Brown, G., Cooke, M., "Computational scene analysis", Computer Speech and Language", vol. 8, pp. 297-336, 1994.
  5. ^ Godsmark, D., Brown, G., "A blackboard architecture for computational auditory scene analysis", Speech Communication, vol. 27, pp. 351-366, 1999.
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