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Speech Analysis Model Based on the Feature of Pitch and Overtones

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Advances in Intelligent Automation and Soft Computing (IASC 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 80))

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Abstract

Aiming at the difficulty of extracting speech formant in formant model, a new multiple frequency model is proposed in this paper. The multiple frequency model is constructed based on the theory of string vibration. According to the physical law of vocal cord vibration and solving vibration equation of the vocal cord, speech is found to be composed by a group of vibrations whose frequencies increase by an integral multiple. The spectrum analysis of speech signal in this paper also confirms the phenomenon. This shows the multiple frequency model can better reflect the actual law than the formant model. This paper also calculates the pitch frequency using the multiple frequency relationship, and the result shows that using the multiple frequency relationship can improve the accuracy of pitch frequency value.

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Correspondence to Qingjun Liu .

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Ren, J., Liu, Q., Chen, T. (2022). Speech Analysis Model Based on the Feature of Pitch and Overtones. In: Li, X. (eds) Advances in Intelligent Automation and Soft Computing. IASC 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-81007-8_23

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