The book provides an introduction to digital signal processing for intermediate level students of electronic and/or electrical engineering and is also relevant to other disciplines which deal with time-series analysis: these include acoustics, mathematics, statistics, psychology and economics.

Data-Driven Techniques in Speech Synthesis gives a first review of this new field. All areas of speech synthesis from text are covered, including text analysis, letter-to-sound conversion, prosodic marking and extraction of parameters to drive synthesis hardware.
Fuelled by cheap computer processing and memory, the fields of machine learning in particular and artificial intelligence in general are increasingly exploiting approaches in which large databases act as implicit knowledge sources, rather than explicit rules manually written by experts. Speech synthesis is one...