CFP: Perceptual and Statistical Audition (Martin Heckmann )


Subject: CFP: Perceptual and Statistical Audition
From:    Martin Heckmann  <Martin.Heckmann@xxxxxxxx>
Date:    Wed, 21 Jan 2009 18:11:25 +0100
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

--=_mixed 005E6D93C1257545_= Content-Type: multipart/alternative; boundary="=_alternative 005E6D93C1257545_=" --=_alternative 005E6D93C1257545_= Content-Type: text/plain; charset="US-ASCII" Dear AUDITORY list, this is a call for papers for a special issue of Speech Communication on Perceptual and Statistical Audition Aims and Scope Current trends in audio analysis are strongly founded in statistical principles, or on approaches that are influenced by empirically derived, or perceptually motivated rules of auditory perception. These approaches are perceived as orthogonal, but new ideas that draw upon both perceptual and statistical principles can often result in superior performance. The relationship of these two approaches however, has not been thoroughly explored and is still a developing field of research. In this special issue we invite researchers to submit papers on original and previously unpublished work on both approaches, and especially on hybrid techniques that combine perceptual and statistical principles, as applied to speech, music and audio analysis. Recent advances in neurosciences have emphasized the important role of spectro-temporal modulations in human perception. We encourage submission of original and previously unpublished work on techniques that exploit the information in spectro-temporal modulations, particularly within a statistical framework. Papers describing relevant research and new concepts are solicited on, but not limited to, the following topics: - Analysis of audio including speech and music - Audio classification - Speech recognition - Signal separation - Multi-channel analysis - Computational Auditory Scene Analysis (CASA) - Spectro-temporal modulation methods - Perceptual aspects of statistical algorithms, such as Independent Component Analysis and Non-negative Matrix Factorization. - Hybrid methods that use CASA-like cues in a statistical framework Guest Editors Martin Heckmann Bhiksha Raj Paris Smaragdis Honda Research Institute Europe Carnegie Mellon University Adobe Advanced Technology Labs 63073 Offenbach a. M., Germany Pittsburgh, PA 15217 Newton, MA 02446 martin.heckmann@xxxxxxxx bhiksha@xxxxxxxx paris@xxxxxxxx Deadline Papers due 29th June, 2009 Submission Guidelines Authors should consult the "Guide for Authors", available online, at http://www.elsevier.com/locate/specom for information about the preparation of their manuscripts. Authors, please submit your paper via http://ees.elsevier.com/specom, choosing "Perceptual and Statistical Audition" as the Article Type. If you are a first time user of the system, please register yourself as an author. Best Bhiksha, Paris, and Martin --=_alternative 005E6D93C1257545_= Content-Type: text/html; charset="US-ASCII" <br><font size=2 face="sans-serif">Dear AUDITORY list,</font> <br> <br><font size=2 face="sans-serif">this is a call for papers for a special issue of Speech Communication on</font> <br> <br><font size=2 face="sans-serif">Perceptual and Statistical Audition</font> <br> <br><font size=2 face="sans-serif">Aims and Scope</font> <br><font size=2 face="sans-serif">Current trends in audio analysis are strongly founded in statistical principles, or on approaches that are influenced by empirically derived, or perceptually motivated rules of auditory perception. These approaches are perceived as orthogonal, but new ideas that draw upon both perceptual and statistical principles can often result in superior performance. The relationship of these two approaches however, has not been thoroughly explored and is still a developing field of research.</font> <br><font size=2 face="sans-serif">In this special issue we invite researchers to submit papers on original and previously unpublished work on both approaches, and especially on hybrid techniques that combine perceptual and statistical principles, as applied to speech, music and audio analysis. &nbsp;Recent advances in neurosciences have emphasized the important role of spectro-temporal modulations in human perception. We encourage submission of original and previously unpublished work on techniques that exploit the information in spectro-temporal modulations, particularly within a statistical framework.</font> <br><font size=2 face="sans-serif">Papers describing relevant research and new concepts are solicited on, but not limited to, the following topics:</font> <br> <br><font size=2 face="sans-serif">&nbsp;- Analysis of audio including speech and music</font> <br><font size=2 face="sans-serif">&nbsp;- Audio classification</font> <br><font size=2 face="sans-serif">&nbsp;- Speech recognition</font> <br><font size=2 face="sans-serif">&nbsp;- Signal separation</font> <br><font size=2 face="sans-serif">&nbsp;- Multi-channel analysis</font> <br><font size=2 face="sans-serif">&nbsp;- Computational Auditory Scene Analysis &nbsp;(CASA)</font> <br><font size=2 face="sans-serif">&nbsp;- Spectro-temporal modulation methods</font> <br><font size=2 face="sans-serif">&nbsp;- Perceptual aspects of statistical algorithms, such as Independent Component Analysis and Non-negative Matrix Factorization.</font> <br><font size=2 face="sans-serif">&nbsp;- Hybrid methods that use CASA-like cues in a statistical framework</font> <br> <br><font size=2 face="sans-serif">Guest Editors</font> <br><font size=2 face="sans-serif">Martin Heckmann &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Bhiksha Raj &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Paris Smaragdis</font> <br><font size=2 face="sans-serif">Honda Research Institute Europe &nbsp; &nbsp; &nbsp; &nbsp;Carnegie Mellon University &nbsp; &nbsp; &nbsp; &nbsp;Adobe Advanced Technology Labs</font> <br><font size=2 face="sans-serif">63073 Offenbach a. M., Germany &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Pittsburgh, PA 15217 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Newton, MA 02446 &nbsp; &nbsp; &nbsp; &nbsp;</font> <br><font size=2 face="sans-serif">martin.heckmann@xxxxxxxx &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; bhiksha@xxxxxxxx &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;paris@xxxxxxxx</font> <br> <br><font size=2 face="sans-serif">Deadline</font> <br><font size=2 face="sans-serif">Papers due 29th June, 2009</font> <br> <br><font size=2 face="sans-serif">Submission Guidelines</font> <br><font size=2 face="sans-serif">Authors should consult the &quot;Guide for Authors&quot;, available online, at http://www.elsevier.com/locate/specom for information about the preparation of their manuscripts. Authors, please submit your paper via http://ees.elsevier.com/specom, choosing &quot;Perceptual and Statistical Audition&quot; as the Article Type. If you are a first time user of the system, please register yourself as an author. </font> <br><font size=2 face="sans-serif">&nbsp;</font> <br><font size=2 face="sans-serif">Best</font> <br> <br><font size=2 face="sans-serif">Bhiksha, Paris, and Martin</font> <br> <br> <br> --=_alternative 005E6D93C1257545_=-- --=_mixed 005E6D93C1257545_= Content-Type: application/octet-stream; name="CFP-SpeechCom-Auditory.pdf" Content-Disposition: attachment; filename="CFP-SpeechCom-Auditory.pdf" Content-Transfer-Encoding: base64 JVBERi0xLjQKJcfsj6IKNSAwIG9iago8PC9MZW5ndGggNiAwIFIvRmlsdGVyIC9GbGF0ZURlY29k ZT4+CnN0cmVhbQp4nMU9y3Ylt417fcU9s7o3x6ouvkmvxnE8tnNix7E7J4tkFmqpW+pYrSvbUsed 38j8y/zegGSRAFgoSXbcnmTh6lssEgTxBgh9t5snpXdz/n97OH9zUv69+/rT5eH7y5PvTuJk8v/K D/T5/M3ut89Pnn0ddspN86zU7vmrk3lKKc4xlhFqZ2Y3eeV2Qakp6LB7/uZkvzs8/3v9TE06JPqZ Wz7TOkyzVjufwpR0zJ/9df/x4VRPIWmr92cHpSc7u7i/PpyqKRqtNH3cHeYpBgsjXx1O0xSiU3F/ PAAMNka7//6gJxfSTAd+dTi1k01hLrMvA28Pp3FKag5+/7IvWb6Oyuv9D4dTANzPZlYwU1/oG5zq 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http://www.auditory.org/postings/2009/
maintained by:
DAn Ellis <dpwe@ee.columbia.edu>
Electrical Engineering Dept., Columbia University