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Improvements in Speech Synthesis - COST 258: The Naturalness of Synthetic Speech

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E Keller, University of Lausanne, Switzerland, G Bailly, INPG and University of Stendhal, France, A Monaghan, Aculap plc, UK, J Terken, IPO-TUE, The Netherlands & M Huckvale, University College, London, UK
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0471 49985 4
October 2001
Hardback/CD
408pp


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Naturalness in synthetic speech is one of the most intractable problems in information
technology today. Although speech synthesis systems have improved considerably over the last 20
years, they rarely sound entirely like human speakers.
Why is this so, and what can be done about it?
- Prosodic processing must be rendered more varied and more appropriate to the speech situation
- Timing, melodic control and the relationships between the various prosodic parameters need increased attention
- Signal processing systems must be developed and perfected that are capable of generating more than just one voice from a database
- A better understanding must be achieved of what distinguishes one voice from another, and of how speech styles differ between simply reading aloud numbers and sentences and their use in interactive speech
- New evaluation methodologies should be developed to provide objective and subjective measurements of the intelligibility of the synthetic speech and the cognitive load imposed upon the listener by impoverished stimuli
- Adequate text markup systems must be proposed and tested with multiple languages in real-world situations
- Further research is required to integrate speech synthesis systems into larger natural-language processing systems
Improvements in Speech Synthesis presents the latest research in the above areas. Contributors
include speech synthesis specialists from 16 countries, with experience in the development of
systems for 12 European languages. This volume emerges from a four-year European COST project
focussed on "The Naturalness of Synthetic Speech", and will be a valuable text for everyone
involved in speech synthesis.
Contents:
- Statistical Speech Recognition
- Speech Database
- Speech Signal Analysis
- HMMs and Initialization
- HMM Training
- Language Models
- Recognition
- Evaluation and Parameter Setting
- Econometric Appendix: The Behaviour of Financial Time Series
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