caa a22 4500 606206256 CHVBK 20210128101010.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s00034-015-9977-8 doi (NATIONALLICENCE)springer-10.1007/s00034-015-9977-8 Robust Voicing Detection and $$F_{0}$$ F 0 Estimation for HMM-Based Speech Synthesis [Elektronische Daten] [N. Narendra, K. Rao] This paper proposes a robust voicing detection and $$F_{0}$$ F 0 estimation method for Hidden Markov model (HMM)-based speech synthesis system. Impulse-like excitation present in voiced speech is utilized for extracting the fundamental frequency. Zero-frequency filter (ZFF) is used to derive the locations of impulse excitation. The main contribution of this paper is exploitation of size of window used in ZFF for accurate voicing detection and $$F_{0}$$ F 0 estimation. By adaptively choosing appropriate window size, the strength of excitation for voiced speech is significantly higher compared with unvoiced speech. With suitable threshold on the strength of excitation, accurate voicing detection is performed. In this method, smooth and accurate $$F_{0}$$ F 0 contour is extracted by frame-wise zero-frequency filtering of speech with appropriate window size. Performance of the proposed method is compared with other existing voicing detection and $$F_{0}$$ F 0 estimation methods. The proposed voicing detection and $$F_{0}$$ F 0 estimation method is implemented in HMM-based speech synthesis system. Both objective and subjective evaluation results show that the proposed method is capable of generating good quality speech compared with HMM-based speech synthesis systems developed using voicing detection and $$F_{0}$$ F 0 estimation methods based on Robust algorithm for pitch tracking and Speech Transformation and Representation using Adaptive Interpolation of weiGHTed spectrum. Springer Science+Business Media New York, 2015 HMM-based speech synthesis nationallicence Zero-frequency filter nationallicence Voicing detection nationallicence Pitch estimation nationallicence Strength of excitation nationallicence Narendra N. School of Information Technology, Indian Institute of Technology Kharagpur, 721302, Kharagpur, West Bengal, India aut Rao K. School of Information Technology, Indian Institute of Technology Kharagpur, 721302, Kharagpur, West Bengal, India aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/8(2015-08-01), 2597-2619 0278-081X 34:8<2597 2015 34 34 https://doi.org/10.1007/s00034-015-9977-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-015-9977-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Narendra N. School of Information Technology, Indian Institute of Technology Kharagpur, 721302, Kharagpur, West Bengal, India aut NATIONALLICENCE 700 1- Rao K. School of Information Technology, Indian Institute of Technology Kharagpur, 721302, Kharagpur, West Bengal, India aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/8(2015-08-01), 2597-2619 0278-081X 34:8<2597 2015 34 34