At KTM E-Technologies we are specializing in development of light-weight electric vehicles, automotive components and related engineering activities. Services include concept studies and prototype vehicle development, market research and benchmark, mechanical- and electrical design, supplier selection and rapid component prototyping for both hard- and software. The work is underpinned by industry standard simulation tools for structural and CFD analysis as well as crash simulation and energy consumption assessment to determine the expected range of electric vehicle designs.
KTM E-Technologies is offering its services to companies within the KTM and Pierer corporations, as well as to external customers such as German and international automotive and 2-wheeler OEMs and startups.
For more information about our portfolio, ways to get in touch and legal imprint, please visit the KTM E-Technologies main website.
Latest: Nlcmd 0.6.0
Android supports a number of voice control features, but enabling an individual app for fine grained voice control is not straight forward. This library helps to achieve that.
Features include
- Fast and efficient markov-chain based matching.
- Simple API for training markov chains from an string array of possible commands variations or loading models from JSON data.
- Support for generic terms such as locations or objects, such that they don't need to be enumerated in the training data.
- Support for creating Graphviz Dot representations of models for visualization and debugging
The code is in proof-of-concept stage and feedback is welcome.
- Maven repo: https://github.com/ktm-etechnologies/nlcmd/packages/178866
- Github page: https://github.com/ktm-etechnologies/nlcmd/
- API reference: https://ktm-etechnologies.github.io/nlcmd/doc/
- Releases: https://ktm-etechnologies.github.io/nlcmd.html
- Example app: https://github.com/ktm-etechnologies/nlcmd-android-examples