Abstract
Quality of service (QoS) evaluation is vital for text-to-speech (TTS) web service applications. Most of the current solutions focus on either evaluating functional or nonfunctional attributes of the TTS. In this paper, we propose a QoS framework to evaluate and analyze the perceived QoS that combines general and specific mechanisms for measuring both functional and nonfunctional requirements of speech quality. General mechanism measures the response time of TTS services while specific mechanism measures intelligibility and naturalness through subjective quality measurements, which are mapped onto mean opinion score (MOS). The result shows the workability of the framework, tested by predetermined users to three services: service1 (Fromtexttospeech) resulting 47.84%; service2 and service3 (NaturalReader and Yakitome) are 31.62 and 21.53% respectively. The TTS services evaluation can be to enhance the user experience.
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Acknowledgments
The authors would like to acknowledge the Malaysian Ministry of Higher Education for the Fundamental Research Grant Scheme vot 1238. This research also supported by GATES IT Solution Sdn. Bhd under its publication scheme.
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Md Fudzee, M.F., Hassan, M., Mahdin, H., Kasim, S., Abawajy, J. (2017). A Framework to Analyze Quality of Service (QoS) for Text-To-Speech (TTS) Services. In: Herawan, T., Ghazali, R., Nawi, N.M., Deris, M.M. (eds) Recent Advances on Soft Computing and Data Mining. SCDM 2016. Advances in Intelligent Systems and Computing, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-319-51281-5_59
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DOI: https://doi.org/10.1007/978-3-319-51281-5_59
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