The ASRU workshop meets every two years and has a tradition of bringing together researchers from academia and industry in an intimate and collegial setting to discuss problems of common interest in automatic speech recognition and understanding. Topics and focus ASRU 2013 will focus on three important topics in current machine recognition of speech. 1. Neural networks in ASR - from history to present successes in applications 2. Building ASR systems with limited resources - development of systems with restricted or no in-domain resources 3. ASR in applications - interaction with other sources of information. The topic for the 4th day will be voted by ASRU participants during paper submission. Papers Submitted papers are encouraged to focus on the areas above, but papers in other typical ASRU areas (LVCSR Systems, Language Modeling, Acoustic Modeling, Decoders & Search, Spoken Language Understanding, Spoken Dialog Systems, Robustness in ASR, Spoken Document Retrieval, Speech-to-Speech Translation, Speech Summarization, New Applications of ASR and Speech Signal Processing) will not be penalized. Invited speakers ASRU will be organized in the form of thematic days featuring each one keynote talk and invited talk(s) or panels. The following persons have agreed to serve as days organizers: Applications Day: Johan Shalkwyk and Pedro Moreno (both Google Inc.) Neural network Day: Nelson Morgan (ICSI Berkeley), Brian Kinsbury (IBM) Limited Resources Day: Jim Glass (MIT) and Aren Jansen (JHU HLT Center of Excellence) Relevance for US Navy The workshop concentrates on mining information from spontaneous speech that is crucial for obtaining timely and precise information in intelligence scenarios. Defense- and intelligence-oriented US funding agencies have been supporting research in speech data mining for many years, with the following recent programs: DARPA SPINE, GALE, TRANSTAC, BOLT, RATS IARPA: BEST, BABEL ASRUs "limited resources" focus is related to the current IARPA BABEL program concentrating on rapid development of speech recognition and keyword spotting for under-resourced languages on very tight schedules.

ONRG Grant

English

Černocký Jan, prof. Dr. Ing. - principal person responsible

Department of Computer Graphics and Multimedia
- responsible department (23.5.2014 - not assigned)
Speech Data Mining Research Group BUT Speech@FIT
- internal (23.5.2014 - 12.12.2013)
Department of Computer Graphics and Multimedia
- co-beneficiary (23.5.2014 - 12.12.2013)

Responsibility: Černocký Jan, prof. Dr. Ing.