Welcome to the ISCA Tutorial and Research Workshop (ITRW) on "Speech Analysis and Processing for Knowledge Discovery" to be held June 4-6 at the premises of Department of Electronic Systems, Aalborg University, Aalborg, Denmark.
On this web page you will find all the latest information about the tutorial and research workshop.
The workshop is concluded.
Thank you all for a nice workshop.
Sarah Hawkins, Department of Linguistics, University of Cambridge,
Keynote title: Phonetic perspectives on modelling information in the speech signal
Click here to get Sarah's abstract.
Christophe d'Alessandro, LIMSI-CNRS, Orsay, France
Keynote title: New paradigms for speech analysis and processing: The source-filter model revisited and gesture controlled analysis-by-synthesis
Click here to get Christophe's abstract.
Humans are very efficient at capturing information and messages in speech, and they often perform this task effortlessly even when the signal is degraded by noise, reverberation and channel effects. In contrast, when a speech signal is processed by conventional spectral analysis methods, significant cues and useful information in speech are usually not taken proper advantage of, resulting in sub-optimal performance in many speech systems. There exists, however, a vast literature on speech production and perception mechanisms and their impacts on acoustic phonetics that could be more effectively utilized in modern speech systems. A re-examination of these knowledge sources is needed.
On the other hand, recent advances in speech modelling and processing and the availability of a huge collection of multilingual speech data have provided an unprecedented opportunity for acoustic phoneticians to revise and strengthen their knowledge and develop new theories. Such a collaborative effort between science and technology is beneficial to the speech community and it is likely to lead to a paradigm shift for designing next-generation speech algorithms and systems. This, however, calls for a focussed attention to be devoted to analysis and processing techniques aiming at a more effective extraction of information and knowledge in speech.
The objective of this workshop is to discuss innovative approaches to the analysis of speech signals, so that it can bring out the subtle and unique characteristics of speech and speaker. This will also help in discovering speech cues useful for improving the performance of speech systems significantly. Several attempts have been made in the past to explore speech analysis methods that can bridge the gap between human and machine processing of speech. In particular, the time varying aspects of interactions between excitation and vocal tract systems during production seem to elude exploitation. Some of the explored methods include all-pole and pole-zero modelling methods based on temporal weighting of the prediction errors, interpreting the zeros of speech spectra, analysis of phase in the time and transform domains, nonlinear (neural network) models for information extraction and integration, etc. Such studies may also bring out some finer details of speech signals, which may have implications in determining the acoustic-phonetic cues needed for developing robust speech systems.
Department of Electronic Systems, Aalborg University, Aalborg, Denmark. In association with International Speech Communication Association (ISCA).