AIIMS Jodhpur, IIT develop talking gloves for people with speech disability

"Additionally, the device can be customised to produce a voice similar to the original voice of the patients which makes it appear more natural while using the device," he added.

The device with in-built sensors can be worn on both hands, and it generates electrical signals due to hand movements, which are then received at a signal processing unit.

The magnitude of the received electrical signals is compared with a plurality of pre-defined combinations of magnitudes stored in a memory by using the signal processing unit. By using AI and ML algorithms, these combinations of signals are then translated into phonetics corresponding to at least one of consonant and a vowel.

For example, the consonant and the vowel can be from Hindi language phonetics. A phonetic is assigned to the received electrical signals based on the comparison.

An audio signal is then generated by an audio transmitter corresponding to the assigned phonetic and based on trained data associated with vocal characteristics stored in a machine learning unit.

The generation of audio signals according to the phonetics having combination of vowels and consonants leads to the generation of speech and enables the mute people to audibly communicate with others. The speech synthesis technique of the present subject matter uses phonetics, and therefore the speech generation is independent of any language.

The team is further working to enhance the features such as durability, weight, responsiveness, and ease-of-use, of the developed device.

The developed product will be commercialised through a start-up incubated by IIT Jodhpur.

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