ISCA Special Interest Group: Robust Speech Processing (RoSP)
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Aims. RoSP aims at providing the following services:
- to promote interest in Robust Speech Processing;
- to provide members of ISCA with a special interest in Robust Speech Processing with a means of exchanging news of recent research developments and other matters of interest in Robust Speech Processing;
- to promote better understanding of the robustness challenges posed by real-world speech applications at various levels, including (but not limited to) the acoustic level (channel change, reverberation, background noise, overlapping speech...), the speaker level (stressed speech, Lombard speech, speaker change, change of speaking rate, accent...) and the language level (dialect, topic change...);
- to facilitate the development of theoretical foundations and practical techniques addressing these challenges by means of shared goals and terminology;
- to call attention to the applications of these techniques, including (but not limited to) automatic speech recognition, speaker identification and verification, spoken document retrieval, dialogue, speech-to-speech translation, speaker localization, speech separation, human-machine interfaces, robust training for synthesis;
- to create a scientific link between researchers and others working in the various disciplines associated with Robust Speech Processing;
- to provide and make available resources relevant to Robust Speech Processing, including speech and text corpora, best-practice processing and evaluation methodologies, processing and evaluation software, research papers and generated data;
- to propose reviewers for ISCA conferences and workshops and to nominate outstanding members for ISCA awards;
- and to sponsor meetings, workshops and evaluation campaigns in Robust Speech Processing that appear to be timely and worthwhile, operating within the framework of ISCA's by-laws for SIGs.
Motivation. Along with the rest of the speech processing community, robust speech processing has experimented strong changes in the last years. These changes have been driven by the maturity of fields like automatic speech recognition (ASR) which has been labeled an strategic asset by some of the biggest and more research-active players in the new technologies market. This maturity calls for new organizational forms that help the coordination within the community and allow it to adapt to this new dynamic scenario. The RoSP-SIG is born as a tool to help reaching this goal. Its aim is to strengthen the ties between the different sub-fields involving robust speech processing and coordinate actions in the interest of the community such as increasing resource availability, create guidelines or organize specific workshops.
Board. Current board members are:
- Chair: Emmanuel Vincent (INRIA Nancy, France)
- ISCA Liaison Officer: Ramon Astudillo (INESC-ID, Lisbon, Portugal)
ISCA-supported events. RoSP supports the series of workshops on Hands-free Speech Communication and Microphone Arrays (HSCMA):
- HSCMA 2014, Nancy, France
- HSCMA 2011, 30/5-1/6, Edinburgh
- HSCMA 2008, 6/5-8/5, Trento, Italy
- HSCMA 2005, Rutgers University, NJ
RoSP supports several events at major speech conferences:
- Robust Speech Processing using Observation Uncertainty and Uncertainty Propagation, at Interspeech 2015, Dresden, Germany
- Co-organized the 3rd CHiME Speech Separation and Recognition Challenge, at IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) 2015, Scottsdale, AZ, USA