Abstract
An acoustic horn is accessed. The acoustic horn is coupled to a head of a user. Audio from a whispered voice of the user is obtained. The whispered voice includes one or more words. The words can comprise a full natural language input. A signal processing module generates audio data. The audio data is based on the whispered voice that was obtained. The audio data is translated, by an automatic speech recognition (ASR) model, into text. The text corresponds to the one or more words. The ASR model can send the text to a large language model (LLM). The acoustic horn transmits sound energy from the user to the signal processing module. The acoustic horn includes one or more impedance matching layers.
Full Text
What is claimed is:
An acoustic horn is accessed. The acoustic horn is coupled to a head of a user. Audio from a whispered voice of the user is obtained. The whispered voice includes one or more words. The words can comprise a full natural language input. A signal processing module generates audio data. The audio data is based on the whispered voice that was obtained. The audio data is translated, by an automatic speech recognition (ASR) model, into text. The text corresponds to the one or more words. The ASR model can send the text to a large language model (LLM). The acoustic horn transmits sound energy from the user to the signal processing module. The acoustic horn includes one or more impedance matching layers.
Timeline
Filed
06/03/2026Published
09/24/2026Granted
Not AvailableIPC Codes(5)
G10L 15/183:using context dependencies, e.g. language models
G10L 15/25:using position of the lips, movement of the lips or face analysis
G10L 21/0208:Noise filtering