What is SLIM?
The primary goal of the ISCA Special Interest Group on Speech and Language in Multimedia (SLIM) is to bring together all protagonists working in speech and language processing to analyze, index and access multimedia data. All aspects of spoken language—pragmatic, semantic, acoustic, phonetic, speaker, etc.—clearly play a major role in fine-grain semantic analysis and access of multimedia data such as lectures, meetings, interviews, debates, conversational broadcast, podcasts, social videos on the Web, etc. However, such data, along with the associated use scenarios, raise specific challenges to speech technologies. For example, high transcription error rates can be observed due to the sometime poor quality of the data; semantics can be shared between several modalities; etc. Bringing together researchers from across our community allows us to direct focused effort at addressing these challenges. Indeed, the SLIM SIG seeks to build a strong and well structured community on the topic to:
In general, the SLIM SIG is of interest to people doing
speech and language related research on any type of
multimedia material. In particular, the main areas that
the SIG covers include (but are not limited to): Spoken
content retrieval and spoken term detection for multimedia
archives, speech summarization, speech-aware multimedia
search engines and automatic speech structuring for
indexing purposes, speech-based content recommendation and
For practical details on how the SIG works, check out the SLIM SIG constitution.
Join the SLIM SIG!
|last updated: June,