Analysis of Mandarin vs English Language for Emotional Voice Conversion

Author:

Uthiraa S.,Patil Hemant A.

Publisher

Springer Nature Switzerland

Reference14 articles.

1. An introduction to Tonal languages. https://ceas.sas.upenn.edu/sites/default/files/. Accessed 9 Sep 2022

2. Alex, S.B., Mary, L., Babu, B.P.: Attention and feature selection for automatic speech emotion recognition using utterance and syllable-level prosodic features. Circuits Syst. Signal Process. 39(11), 5681–5709 (2020)

3. Bachu, R., Kopparthi, S., Adapa, B., Barkana, B.: Separation of voiced and unvoiced using zero crossing rate and energy of the speech signal. In: American Society for Engineering Education (ASEE) Zone Conference Proceedings, pp. 1–7. American Society for Engineering Education (2008)

4. Brata, I., Darmawan, I.: Comparative study of pitch detection algorithm to detect traditional balinese music tones with various raw materials. J. Phys.: Conf. Ser. 1722, 012071 (2021)

5. Kawanami, H., Iwami, Y., Toda, T., Saruwatari, H., Shikano, K.: GMM-based voice conversion applied to emotional speech synthesis. In: 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003 - INTERSPEECH 2003, Geneva, Switzerland (2003)

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