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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sripriya, N. Nagarajan, T. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Inf. Technol., SSN Coll. of Eng., Chennai, India (Sripriya, N.; Nagarajan, T.) |
| Abstract | Estimation of pitch from a given segment of speech plays an eminent role in various speech processing applications, such as speech coding, speech recognition, speaker recognition tasks, speech synthesis, etc. Even though, there are several efficient algorithms, estimation of pitch frequency from speech signals that are severely degraded by noise is still a challenging task. In this paper, we propose a robust framework for pitch estimation using harmonic product spectrum (HPS) derived from discrete cosine transform (DCT) of the signal. This novel method exploits the better decorrelating nature of the DCT spectrum that enables the pitch harmonics to appear sharper in its spectrum. Potentially, this facilitates accurate pitch estimation at lower order of the harmonic product spectrum when compared with DFT-based HPS. Systematic evaluation is carried out to analyze the performance of the proposed method in comparison with some of the successful algorithms, like DFT-based HPS, SIFT, and Cepstrum-based technique. The results clearly show that the proposed algorithm outperforms the other algorithms for speech signals that are severely corrupted by noise (low SNR). The effectiveness of this method for different durations of analysis window, various orders of HPS, and the refinements are also discussed. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 350590 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479928255 |
| ISSN | 21593450 |
| e-ISBN | 9781479928279 |
| DOI | 10.1109/TENCON.2013.6718976 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-22 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speech Estimation Discrete cosine transforms Noise Harmonic analysis Discrete Fourier transforms Accuracy Harmonic product spectrum Pitch DCT |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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