Over the past several years, Rich Transcription has emerged as an interdisciplinary field combining automatic speech recognition, speaker identification, and natural language processing with the goal of producing richly annotated speech transcriptions that are useful both to human readers and to automated programs for indexing, retrieval and analysis. The key problems include making more accurate speech transcription technology; improving speaker recognition technology; developing fundamentally new techniques for annotating dialog with semantic intent; and enriching ASR output to present it in a maximally informative manner. These various goals interact with each other, and exploiting synergistic uses of the disparate forms of analysis is critical. With its focus on fundamental research in human communication, Rich Transcription is key to governmental applications in data mining, and to commercial applications such as call center automation and monitoring.
The purpose of this special issue is to present recent advances in all areas of Rich Transcription for Speech, Audio, and Spoken Language Dialog. Original, previously unpublished submissions for the following areas are encouraged:
Submission procedure:
Prospective authors should prepare manuscripts according to the Information for Authors as published in any recent issue of the Transactions and as available on the web at http://www.ieee.org/organizations/society/sp/infotsa.html. Note that all rules will apply with regard to submission lengths, mandatory overlength page charges, and color charges.
Manuscripts should be submitted electronically through the online IEEE manuscript submission system at http://sps-ieee.manuscriptcentral.com/. When selecting a manuscript type, authors must click on "Special Issue of T-SA on Progress in Rich Transcription." Authors should follow the instructions for the IEEE Transactions on Speech and Audio Processing and indicate in the Comments to the Editor-in-Chief that the manuscript is submitted for publication in the Special Issue on Progress in Rich Transcription. We require a completed copyright form to be signed and faxed to 1-732-562-8905 at the time of submission. Please indicate the manuscript number on the top of the page.
Schedule:
| Submission deadline: | 1 October 2005 |
| Notification of acceptance: | 1 April 2006 |
| Final manuscript due: | 31 May 2006 |
| Tentative publication date: | September 2006 |
Guest Editors:
| Dr. Geoffrey Zweig | IBM, Yorktown Heights, NY. | gzweig@us.ibm.com |
| Dr. John Makhoul | BBN Technologies, Cambridge MA. | makhoul@bbn.com |
| Dr. Barbara Peskin | ICSI, Berkeley, CA. | barbara@icsi.berkeley.edu |
| Dr. Phil Woodland | Cambridge University, Cambridge, U.K. | pcw@eng.cam.ac.uk |
| Dr. Andreas Stolcke | SRI International, Menlo Park, CA. | stolcke@speech.sri.com |