Speech Synthesis Markup Language (SSML) Version 1.1

The Festival Speech Synthesis System, and more specifically, the FestVox voice building tools, ..

The W3C specifications used by VXML to provide speech synthesis.

With some notable exceptions, this methodology has been absent from research in speech synthesis proper until recently. Consider Rabiner's system in light of the two success factors just mentioned. His table of phonemic targets would certainly be amenable to corpus-based optimization; indeed, one can optimize arbitrarily large tables of acoustic targets, as long as enough data are brought to bear. However, Rabiner's method for time-function generation has some properties that would make optimization of its constants somewhat tricky and would hinder optimization of the table of phonemic targets as well. It seems clear that the system was not designed with corpus-based optimization in mind; if it had, Rabiner would no doubt have made certain choices somewhat differently.

Programming Speech in WPF - Speech Synthesis

Only within the past few years have we seen a general use of systematic optimization techniques for purposes of inventory design, unit segmentation, unit selection, and unit combination algorithms. The general approach is to define a perceptually reasonable acoustic distortion metric and use it in a global comparison of alternatives (in allophonic clustering, in segmentation points, in unit selection, or whatever). To make this method work effectively, one must usually design the overall system specifically with such a process in view. Psychological tests would be the optimal basis of such an effort, but objective (if psychologically motivated) distortion metrics have the advantage of being quicker and cheaper. Although such objective distortion metrics are far from a perfect image of the human judgments that provide the ultimate evaluation of any synthesis system, they usually provide the only feasible way to perform the massive and systematic comparison of alternatives that is needed. Testing with

Although step by step examples will be discussed in line throughoutthe various chapters, offerscomplete detailed walkthoughs of the actual steps involvedin a number of larger examples. gives a complete example of building a Japanese diphone synthesizer, and covers UK and US English diphone synthesizer while covers a the deisgn and executationof building a limited domain synthesizer for ...


Microsoft text-to-speech voices - Wikipedia

Voice Communication Between Humans and Machines takes the first interdisciplinary look at what we know about voice processing, where our technologies stand, and what the future may hold for this fascinating field. The volume integrates theoretical, technical, and practical views from world-class experts at leading research centers around the world, reporting on the scientific bases behind human-machine voice communication, the state of the art in computerization, and progress in user friendliness. It offers an up-to-date treatment of technological progress in key areas: speech synthesis, speech recognition, and natural language understanding.

Magnevation SpeakJet - Speech Related IC's for the …

The largest scale of commercial activity has been of types 1 and 2, which might be called stored voice. This includes telecommunication intercepts, Texas Instruments' Speak 'N Spell toy, voice-mail prompts, and so forth. Much classical speech synthesis research was of type 5 or 6. Several of the best current systems, and what some consider to be the most promising areas of research, are of types 3 and 4, techniques that are sometimes called

innoetics TTS | Welcome to innoetics

NeoSpeech’s voices come equipped with the CMU (Carnegie Mellon University) Pronouncing Dictionary filled with over a million pronunciations, but you don’t have to stop there. Capture regional dialects and enrich the lexicon with new words using the industry-standard SSML (Speech Synthesis Markup Language). Fine tune pronunciations and clarify abbreviations. Iron out the minute details in people’s names and street’s intersections. Expand the language to suit your industry.

Emic 2 Text-to-Speech Module | Grand Idea Studio

NeoSpeech’s voices come equipped with the CMU (Carnegie Mellon University) Pronouncing Dictionary filled with over a million pronunciations, but you don’t have to stop there. Capture regional dialects and enrich the lexicon with new words using the industry-standard SSML (Speech Synthesis Markup Language). Fine tune pronunciations and clarify abbreviations. Iron out the minute details in people’s names and street’s intersections. Expand the language to suit your industry.