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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Pachori, Ram Bilas | en_US |
dc.date.accessioned | 2022-03-17T01:00:00Z | - |
dc.date.accessioned | 2022-03-17T15:41:39Z | - |
dc.date.available | 2022-03-17T01:00:00Z | - |
dc.date.available | 2022-03-17T15:41:39Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Upadhyay, A., & Pachori, R. B. (2015). A new method for determination of instantaneous pitch frequency from speech signals. Paper presented at the 2015 IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015, 325-330. doi:10.1109/DSP-SPE.2015.7369574 | en_US |
dc.identifier.isbn | 9781467391696 | - |
dc.identifier.other | EID(2-s2.0-84964066776) | - |
dc.identifier.uri | https://doi.org/10.1109/DSP-SPE.2015.7369574 | - |
dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/5355 | - |
dc.description.abstract | This paper presents a new method for instantaneous pitch frequency determination from speech signals. The proposed method is based on the variational mode decomposition (VMD) and the Hilbert transform. The VMD is applied in iterative way with specific input parameters in order to determine the fundamental frequency component from the speech signals. The fundamental frequency component has been used for detection of voiced and non-voiced regions from speech signals. The instantaneous pitch frequency is computed using Hilbert transform of the fundamental frequency component corresponding to voiced regions of speech signals. The experimental results are shown on speech signals taken from Keele pitch extraction reference database. The experimental results obtained from the proposed method are compared with the other existing methods for determining pitch frequency from speech signals. © 2015 IEEE. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.source | 2015 IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015 | en_US |
dc.subject | Continuous speech recognition | en_US |
dc.subject | Iterative methods | en_US |
dc.subject | Mathematical transformations | en_US |
dc.subject | Natural frequencies | en_US |
dc.subject | Signal detection | en_US |
dc.subject | Signal processing | en_US |
dc.subject | Speech | en_US |
dc.subject | Speech recognition | en_US |
dc.subject | Fundamental frequencies | en_US |
dc.subject | Hilbert transform | en_US |
dc.subject | Input parameter | en_US |
dc.subject | Mode decomposition | en_US |
dc.subject | Pitch extraction | en_US |
dc.subject | Pitch frequencies | en_US |
dc.subject | Reference database | en_US |
dc.subject | Speech signals | en_US |
dc.subject | Speech communication | en_US |
dc.title | A new method for determination of instantaneous pitch frequency from speech signals | en_US |
dc.type | Conference Paper | en_US |
Appears in Collections: | Department of Electrical Engineering |
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