Epoch-Based Spectrum Estimation for Speech

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• Prof Jon Gudnason, Reykjavik University, Iceland
• Monday 08 January 2024, 14:00-15:00
• EEE 909B Seminar Room.

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The Discrete Fourier Transform (DFT) is a Fourier series of a discrete time signal that is assumed to be periodic and the support of the transform is that period. However, when the DFT is used to implement the Short-Time Fourier Transform (STFT) for voiced speech this assumption conflicts with the underlying periodicity of the signal. Each analysis window contains a fractional pitch period which leads to distortion in the resulting Fourier coefficients. To address this issue, we introduce an approach that computes the STFT using analysis frames determined by the glottal closure instants (GCIs) which mark the beginning of each pitch period. The design challenges associated with this method are discussed and the resulting spectrogram is demonstrated.

Jon Gudnason is a Professor at the Department of Engineering and the head of the Language and Voice Lab at Reykjavik University, Iceland. He received his B.S. and M.S. degrees in electrical engineering at the University of Iceland and his Ph.D. in speech signal processing from Imperial College London in 2007. He completed post-doctroal positions at Imperial College and Columbia University New York before joining the faculty of engineering at Reykjavik University in 2009. His research interests include the development of signal processing and machine learning methods that are applied to speech and the development of language resources and spoken language technologies. His recent research efforts include the development of speech recognition and synthesis systems for Icelandic, application of speech signal processing to cognitive workload monitoring and glottal inverse filtering.

This talk is part of the SAP Talks series.

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