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Course Catalog 2012-2013
SGN-9206 Signal Processing Graduate Seminar II, 3 cr
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Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Lecture times and places |
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Description:
Seminar topic is "Signal processing methods for noise-robust recognition of audio, speech and time-series analysis". Automatic speech recognition (ASR) systems are finding an increasing use in everyday life. Many of the commonplace environments where the systems are used are noisy, for example users calling up a voice search system from a busy cafeteria or a street. This can result in degraded speech recordings and adversely affect the performance of speech recognition systems. As use of ASR systems increases, knowledge of the state-of-the-art techniques to deal with such problems becomes critical to system engineers and application engineers and researchers who work with or on ASR technologies. The seminar consists of techniques used to improve the robustness of speech recognition systems to these degrading external influences. Methods presented at the seminar are very common and also suitable for signal analysis in other fields like e.g. biomedical signal processing and other similar fields.
Person responsible:
Atanas Gotchev
Serkan Kiranyaz
Raija Lehto
Assessment scale:
Evaluation scale passed/failed will be used on the course