Joint Robust Voicing Detection and Pitch Estimation Based on Residual Harmonics
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Abstract (arXiv)
This paper focuses on the problem of pitch tracking in noisy conditions. A method using harmonic information in the residual signal is presented. The proposed criterion is used both for pitch estimation, as well as for determining the voicing segments of speech. In the experiments, the method is compared to six state-of-the-art pitch trackers on the Keele and CSTR databases. The proposed technique is shown to be particularly robust to additive noise, leading to a significant improvement in adverse conditions.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Dec 2019.
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Citing papers per year: 2021: 3; 2022: 1; 2023: 1; 2024: 0; 2025: 1.
6 papers.
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- 2022CMSBERT-CLR: Context-driven Modality Shifting BERT with Contrastive Learning for linguistic, visual, acoustic Representations21 Aug 2022
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- 2021The Use of Voice Source Features for Sung Speech Recognition20 Feb 2021