Effortless Voice Activation
Smart Voice Interactions
Wake Word Training – Model Development
By using a collection of voice datasets that contains great diversity, we develop and train customized AI/ML models that improve wake word accuracy, feature reducing false wake words, and facilitate timely interaction across devices.
Speech Data Collection and Processing
To build quality datasets that improve speech recognition accuracy and usability, we can collect voice samples in a variety of accents, tones, across sound background, and settings creating inclusive speech recognition data.
Noise Robustness Testing
Test wake word understanding in noisy/stressful environments (i.e. in car, public spaces, household activities) to ensure that wake words and speech capabilities are
consistently robust.
Accent Variance and Language Evaluation
Explore global and regional dialect and language patterns to support improved wake word recognition for global and multicultural audiences.
Real Time Response
Testing and Quality Assessment
To enable a more natural communication flow in voice enabled devices and the user experience of voice technologies.
AI Enabled Accuracy Optimization
Utilize phrasing utilizing NLP and advanced machine learning to enhance accuracy and adoption of voice technologies.
Industries
Data collection allows sectors to train computer vision models, improve automation, improve diagnostics, ensure safety, and spur innovation via AI applications.
Inputs: audio recording files, speech data sets, device logs, APIs.
Outputs: detection accuracy (or counters), error rates, latency, user interaction insights.
Claim yours today & unlock smarter, faster, and more reliable voice experiences.