QT2SI Lite Software

The world’s first and only PC based Text-to-Speaker-Independent (T2SI) development tool available for an embedded platform.

Quick T2SI Lite software allows the development of Speaker Independent vocabularies in a very easy Text-to-Speech fashion. This enables very quick and efficient development of Speaker Independent voice recognition applications.

149.00 Excl. VatAdd to cart

QT2SI Lite Features

T2SITM incorporates the latest advances in neural networks combined with Hidden Markov Modeling to create a powerful phonemic recognizer, using text entry to create, edit, build and download embedded vocabularies in just minutes.

The Quick T2SITM Toolkit includes PC based software to build SI sets and an RSC-4x Demo/Evaluation Board for final real-world testing on an embedded platform.

Speaker independent sets can achieve the highest accuracy through several key approaches:

  1. Word substitution and experimentation in the Quick T2SI Toolkit.
  2. Word pronunciation and phonetic editing capabilities in the toolkit.
  3. Custom neural nets can quickly be created by Sensory to decrease error rates by up to 50%.

Key Features


  • Push-button development
  • Automatic generation of pronunciations
  • Pronunciation testing and tuning capability
  • World-bet and International Phonetic Alphabet editing
  • Speech synthesis pronunciation modeling & feedback
  • Phonetic keyboard with pronunciation examples
  • Boolean selectable alternate pronunciations


  • High noise immunity
  • No accuracy surprises in final products
  • Selectable out-of-vocabulary rejection
  • PC & embedded testing capabilities
  • Fast downloads to embedded test platform
  • Speech synthesis feedback aids accuracy tuning


  • Fast time to market
  • Unlimited sets with tens of words per set
  • Built-in word spotting for more natural phrasing
  • Trigger word modeling for hands-free applications
  • Controllable listening windows for accuracy tuning
  • Multi-lingual support

See the [documentation] to learn more.

See the documentation to learn more.