Scientists at the University of Cyprus have developed a new phonation-driven control system that is capable of extracting human voice information. Using laryngeal bioimpedance and machine learning, the researchers designed a self-calibrating device that can measure laryngeal bioimpedance. Unlike traditional microphones, the bioimpedance readings are simpler and faster to process, which makes it ideal for several applications across various subject areas, including medicine, music technology, and human-computer interaction.
The team designed a multiplexed sensor system based on multiple electrode pairs to make the system more user-friendly and applicability. They then created a unique dataset of laryngeal bioimpedance measurements to distinguish between speech and singing. Using the Mel Frequency Cepstrum Coefficients of the recorded bioimpedance measurements, the researchers trained and deployed an Artificial Neural Network.
The system was implemented using the MIDI protocol, making it possible to control hardware and software electronic instruments using the voice as an input. In conclusion, the research results in a fast and efficacious real-time voice-to-MIDI conversion system that improves the applicability and usability of laryngeal bioimpedance. This system expands existing knowledge in the distinction of speech and singing and is ideal for several applications that require the extraction and conversion of human voice information.
Frequently Asked Questions (FAQs) Related to the Above News
What is the new phonation-driven control system developed by scientists at the University of Cyprus?
The new phonation-driven control system developed by scientists at the University of Cyprus is capable of extracting human voice information using laryngeal bioimpedance and machine learning.
What makes the bioimpedance readings simpler and faster to process compared to traditional microphones?
The bioimpedance readings are simpler and faster to process compared to traditional microphones due to their design and measurement method.
In which subject areas can the new phonation-driven control system be useful?
The new phonation-driven control system can be useful in several subject areas including medicine, music technology, and human-computer interaction.
What kind of unique dataset did the researchers create?
The researchers created a unique dataset of laryngeal bioimpedance measurements to distinguish between speech and singing.
What approach did the researchers use to implement the system?
The researchers used the MIDI protocol to implement the system, making it possible to control hardware and software electronic instruments using the voice as an input.
What is the main benefit of the new phonation-driven control system?
The main benefit of the new phonation-driven control system is its fast and efficacious real-time voice-to-MIDI conversion, improving the applicability and usability of laryngeal bioimpedance.
What is the significance of this new system in the distinction of speech and singing?
This new system expands existing knowledge in the distinction of speech and singing and provides a faster and more efficient approach to extracting and converting human voice information.
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