Transform text and speech into actionable insights with NLP—powering chatbots, voice control, sentiment analysis, and smart automation.
Speech-to-Intent Voice Control for IOT Systems
- An offline voice control system for any edge devices using embedded NLP.
- Converts spoken commands into actionable control intents. Does not require internet, lightweight, optimized for edge inference.
- Alternative to PicoVoice, with custom-trained intent classifiers for varied accents.
- Enables integration into smart appliances without recurring cloud costs.
Custom Keyword Spotting
- Custom TensorFlow model trained to detect voice keywords.
- Runs on microcontrollers for embedded applications like voice assistants.
- Achieved 97% training and 81% validation accuracy.
- Used in voice-triggered consumer electronics and automation.
Voice Dubbing
- End-to-end system that dubs audio into another speaker’s voice.
- Automatically dubs bulk command audio using multiple trained voices.
- Used for voice cloning, localization, and automated voice-over.