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Speech synthesis systems: disadvantages and limitations
Open accessAbstract
The present speech synthesis systems can be successfully used for a wide range of diverse purposes. However, there are serious and important limitations in using various synthesizers. Many of these problems can be identified and resolved. The aim of this paper is to present the current state of development of speech synthesis systems and to examine their drawbacks and limitations. The paper dis-cusses the current classification, construction and functioning of speech synthesis systems, which gives an insight into synthesizers implemented so far. The analysis of disadvantages and limitations of speech synthesis systems focuses on identification of weak points of these systems, namely: the impact of emotions and prosody, spontaneous speech in terms of naturalness and intelligibility, preprocessing and text analysis, problem of ambiguity, natural sounding, adaptation to the situation, variety of systems, sparsely spoken languages, speech synthesis for older people, and some other minor limitations. Solving these problems stimulates further development of speech synthesis domain.
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“It heavily depends on the speech corpus quality to make the system and, and it is expensive to create speech corpora (Kuligowska et al., 2018).”
From Audio deepfakes: A survey (2023) · cites this paper as Kuligowska et al., 2018
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“Another disadvantage is that SS systems do not recognize periods or special characters (Kuligowska et al., 2018).”
From Audio deepfakes: A survey (2023) · cites this paper as Kuligowska et al., 2018
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“Ambiguities with homographs are the largest, which is when two words have different meanings but are written the same way (Kuligowska et al., 2018).”
From Audio deepfakes: A survey (2023) · cites this paper as Kuligowska et al., 2018
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“One can sometimes tell it is not human-like because there is no breathing, laughter, pauses, and sighs among other things in human speech (Kuligowska et al., 2018).”
From Audio deepfakes: A survey (2023) · cites this paper as Kuligowska et al., 2018
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“Prosody that changes the intelligibility and naturalness of speech synthesis systems is another disadvantage (Kuligowska et al., 2018).”
From Audio deepfakes: A survey (2023) · cites this paper as Kuligowska et al., 2018
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Metadata
- Authors
- Kuligowska, K., Kisielewicz, P., & Włodarz, A.
- Affiliations
- University of Warsaw (PL)
- ORCID
- Kuligowska, Karolina
- Venue
- International Journal of Engineering & Technology
- Publisher
- Science Publishing Corporation
- Published
- 2018-05-16
- Volume
- 7
- Issue
- 2.28
- Pages
- 234
- ISSN
- 2227-524X (ISSN-L)
- OpenAlex
- W2940855867
- Cited by
- 36
- References
- 33
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 5 · 2023: 8 · 2022: 6 · 2021: 7 · 2020: 4
- FWCI
- 1.55
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- International Journal of Engineering & Technology (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Keywords
- speech synthesis, prosody, emotion in speech, naturalness, intelligibility, text preprocessing, text analysis, ambiguity, low-resource languages
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