CORRECTING SPEECH IMPAIRMENT BASED ON FACIAL MOVEMENTS
Systems, methods, and non-transitory computer-readable media including instructions for detecting and utilizing facial skin micromovements are disclosed. In some non-limiting embodiments, the detection of the facial skin micromovements occurs using a speech detection system that may include a wearable housing, a light source (either a coherent light source or a non-coherent light source), a light detector, and at least one processor. One or more processors may be configured to analyze light reflections received from a facial region to determine the facial skin micromovements, and extract meaning from the determined facial skin micromovements. Examples of meaning that may be extracted from the determined facial skin micromovements may include words spoken by the individual (either silently spoken or vocally spoken), an identification of the individual, an emotional state of the individual, a heart rate of the individual, a respiration rate of the individual, or any other biometric, emotion, or speech-related indicator.
1 - 280 . (canceled)
281 . A non-transitory computer-readable medium containing instructions that when executed by at least one processor cause the at least one processor to perform operations for interpreting impaired speech based on facial movements, the operations comprising:
receiving signals associated with specific facial skin movements of an individual having a speech impairment that affects a manner in which the individual pronounces a plurality of words;
accessing a data structure containing correlations between the plurality of words and a plurality of facial skin movements corresponding to the manner in which the individual pronounces the plurality of words;
based on the received signals and the correlations, identifying specific words associated with the specific facial skin movements; and
generating an output of the specific words for presentation, wherein the output differs from how the individual pronounces the specific words.
282 . The non-transitory computer-readable medium of claim 281 , wherein the facial skin movements are facial skin micromovements.
283 . The non-transitory computer-readable medium of claim 282 , wherein the signals are received from a sensor that detects light reflections from a non-lip portion of a face of the individual.
284 . The non-transitory computer-readable medium of claim 283 , wherein the facial skin micromovements correspond with recruitment of at least one muscle out of a group of muscles including: a zygomaticus muscle, a genioglossus muscle, an orbicularis oris muscle, a risorius muscle, or a levator labii superioris alaeque nasi muscle.
285 . The non-transitory computer-readable medium of claim 281 , wherein the signals are received from an image sensor configured to measure non-coherent light reflections.
286 . The non-transitory computer-readable medium of claim 281 , wherein the data structure is personalized to unique facial skin movements of the individual.
287 . The non-transitory computer-readable medium of claim 281 , wherein the operations further include employing a training model for populating the data structure.
288 . The non-transitory computer-readable medium of claim 281 , wherein the specific facial skin movements are associated with a vocalization of the specific words, and wherein the vocalization of the specific words is in a non-normative manner.
289 . The non-transitory computer-readable medium of claim 281 , wherein the output of the specific words is audible and used to correct the speech impairment of the individual.
290 . The non-transitory computer-readable medium of claim 289 , wherein the speech impairment is stuttering and wherein correcting includes outputting the specific words spoken in a stutter-free form.
291 . The non-transitory computer-readable medium of claim 289 , wherein the speech impairment is hoarseness, and wherein correcting includes outputting the specific words in a hoarseness-free form.
292 . The non-transitory computer-readable medium of claim 289 , wherein the speech impairment is low volume, and wherein correcting includes outputting the specific words in a volume higher than the specific words were spoken.
293 . The non-transitory computer-readable medium of claim 281 , wherein the output of the specific words is textual.
294 . The non-transitory computer-readable medium of claim 293 , wherein the operations further include adding punctuation to the textual output of the specific words.
295 . The non-transitory computer-readable medium of claim 281 , wherein the data structure includes data associated with at least one recording of the individual previously pronouncing the specific words.
296 . The non-transitory computer-readable medium of claim 281 , wherein the identified specific words associated with the specific facial skin movements are nonvocalized.
297 . The non-transitory computer-readable medium of claim 281 , wherein the specific facial skin movements are associated with a subvocalization of the specific words, and wherein the generated output includes a private audible presentation of the subvocalized words to the individual.
298 . The non-transitory computer-readable medium of claim 281 , wherein the specific facial skin movements are associated with a subvocalization of the specific words, and wherein the generated output includes a non-private audible presentation of the subvocalized words.
299 . A method for interpreting impaired speech based on facial movements, the method comprising:
receiving signals associated with specific facial skin movements of an individual having a speech impairment that affects a manner in which the individual pronounces a plurality of words;
accessing a data structure containing correlations between the plurality of words and a plurality of facial skin movements corresponding to the manner in which the individual pronounces the plurality of words;
based on the received signals and the correlations, identifying specific words associated with the specific facial skin movements; and
generating an output of the specific words for presentation, wherein the output differs from how the individual pronounces the specific words.
300 . A system for interpreting impaired speech based on facial movements, the system comprising:
at least one processor configured to:
receive signals associated with specific facial skin movements of an individual having a speech impairment that affects a manner in which the individual pronounces a plurality of words;
access a data structure containing correlations between the plurality of words and a plurality of facial skin movements corresponding to the manner in which the individual pronounces the plurality of words;
based on the received signals and the correlations, identify specific words associated with the specific facial skin movements; and
generate an output of the specific words for presentation, wherein the output differs from how the individual pronounces the specific words.
301 - 560 . (canceled)