Deadline Extension CFP: Perceptual and Statistical Audition (Martin Heckmann )

Subject: Deadline Extension CFP: Perceptual and Statistical Audition From: Martin Heckmann <Martin.Heckmann@xxxxxxxx> Date: Mon, 6 Jul 2009 14:15:04 +0200 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY> --=_mixed 00434BF9C12575EB_= Content-Type: multipart/alternative; boundary="=_alternative 00434BF9C12575EB_=" --=_alternative 00434BF9C12575EB_= Content-Type: text/plain; charset="US-ASCII" Dear AUDITORY list, to give authors a bit more time we extended the deadline for the call for papers for the special issue of Speech Communication on Perceptual and Statistical Audition to the 27th July, 2009 See the call for papers below for more details. 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 In this special issue we invite researchers to submit papers on original and previously unpublished work on both approaches, and especially on hybrid techniques that combine perceptual and statistical principles, as applied to speech, music and audio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 We encourage submission of original and previously unpublished work on techniques that exploit the information in spectro-temporal modulations, particularly within a statistical framework.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 New Deadline Papers due 27th July, 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 Dr.-Ing. Martin Heckmann Honda Research Institute Europe Carl-Legien-Str.30 63073 Offenbach/MainGermany Phone. : +49-69-89011-755 Fax : +49-69-89011-749 e-mail: Martin.Heckmann@xxxxxxxx --=_alternative 00434BF9C12575EB_= Content-Type: text/html; charset="US-ASCII" Dear AUDITORY list, to give authors a bit more time we extended the deadline for the call for papers for the special issue of Speech Communication on Perceptual and Statistical Audition to the 27th July, 2009 See the call for papers below for more details. 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 New Deadline Papers due 27th July, 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 Dr.-Ing. Martin Heckmann Honda Research Institute Europe Carl-Legien-Str.30 63073 Offenbach/MainGermany Phone.  : +49-69-89011-755 Fax   : +49-69-89011-749 e-mail: Martin.Heckmann@xxxxxxxx --=_alternative 00434BF9C12575EB_=-- --=_mixed 00434BF9C12575EB_= Content-Type: application/octet-stream; name="CFP-SpeechCom-Extension.pdf" Content-Disposition: attachment; filename="CFP-SpeechCom-Extension.pdf" Content-Transfer-Encoding: base64 JVBERi0xLjQKJcfsj6IKNSAwIG9iago8PC9MZW5ndGggNiAwIFIvRmlsdGVyIC9GbGF0ZURlY29k ZT4+CnN0cmVhbQp4nNU923Ict5Xv/IqpfZpJia3GHfDTKo5XcSp2sjJTedjsA8mRSMW8WebIVn5j 91/yewEal3MAHExTXimpTcpVrWk0cHDuN4A/bOaJ8c0c/p8fLm9P5s1L/9/VyQ8ndhLhf8sL/Hx5 u/n12cnzV2bD1DTPXG7O3pzMk3N2tnYZwTZiVpOWG8PYZPjm7PZku9md/TV+xCZu0ScqfcK5mWa5 0c5Mbvnkv7Zf7k75ZBxnbnu+Y3ySs2bbm90pm6wQ3ORH5oyffp6skUKa7ZvdqZuMlUJv73d+faln t32345My1uKBf9ydykk6x1WYPg182J3ayTGu+fZ1XFNa+PrH3akHW8+cMz9TWec7mOmhzPS6PF2i r956mP2sbjZ5T37+G/gRwfc1LIDXxc+HMgWshmaA/SOkbHbc2P8++90aCa2ZNCIHoqBefuooyJya 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This message came from the mail archive
http://www.auditory.org/postings/2009/
maintained by:

DAn Ellis <dpwe@ee.columbia.edu>
Electrical Engineering Dept., Columbia University