Rubidium
Embedded Voice User Interface Solutions for Seamless Interaction
About Rubidium
Rubidium specializes in embedded speech processing technologies, enabling leading companies to integrate voice commands and text-to-speech into their products. With solutions like Always-On Voice Trigger, Automatic Speech Recognition (ASR), and Text-to-Speech (TTS), Rubidium enhances user interaction across various industries, including telephony, smart toys, and consumer appliances.
FAQ
For SIR, Hidden Markov Model (HMM) is used. HMM is a statistical model of human speech that observes certain parameters of the signal and makes assumptions regarding the statistical behavior of human speech by training on many recordings collected from different speakers.
Yes, the technology can listen continuously and alert the application when a certain word or phrase is detected. This is sometimes called word trigger mode.
Yes, the application can identify the user's voice or recognize a certain password the user trained it for. This is called Speaker Dependent Recognition (SDR).
Yes, Rubidium has developed a patent-pending barge-in algorithm that can run in a very small footprint and still perform well, allowing users to talk while the application is speaking.
No, Rubidium's policy is to develop the application together with customers. They suggest a milestone-oriented plan and deliver engineering samples at each milestone.
There is no standard method to measure speech recognition accuracy. However, in most field testing of their applications, Rubidium achieves over 98% recognition accuracy.
Yes, Rubidium can supply the technology for small production quantities. They would charge NRE for development and tooling, which is usually refunded during mass production.
Yes, Rubidium has already implemented this feature in products. The language can be changed by a physical switch or by voice (stating the name of the language desired).
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