| Paper: | SLP-L11.1 | ||
| Session: | Advances in Speech Analysis and Representations | ||
| Time: | Friday, May 19, 14:00 - 14:20 | ||
| Presentation: | Lecture | ||
| Topic: | Speech and Spoken Language Processing: Speech Analysis | ||
| Title: | Intrinsic Fourier Analysis on the Manifold of Speech Sounds | ||
| Authors: | Aren Jansen, Partha Niyogi, University of Chicago, United States | ||
| Abstract: | Recently, there has been much interest in geometrically motivated dimensionality reduction algorithms. These algorithms exploit low-dimensional manifold structure in certain natural datasets to reduce dimensionality while preserving categorical content. This paper has two goals: (i) to motivate the existence of a low-dimensional curved manifold structure to voiced speech sounds, and (ii) to present a new intrinsic (manifold-based) spectrogram technique founded on the existence this manifold structure. We find that the intrinsic representation allows phonetic distinction in fewer dimensions than required by a traditional spectrogram. | ||
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