Methods and systems are described herein for improving audio for hearing impaired content consumers. An example method may comprise determining a content asset. Closed caption data associated with the content asset may be determined. At least a portion of the closed caption data may be determined based on a user setting associated with a hearing impairment. Compensating audio comprising a frequency translation associated with at least the portion of the closed caption data may be generated. The content asset may be caused to be output with audio content comprising the compensating audio and the original audio.

Methods and systems are described herein for improving audio for hearing impaired content consumers. An example method may comprise determining a content asset. Closed caption data associated with the content asset may be determined. At least a portion of the closed caption data may be determined based on a user setting associated with a hearing impairment. Compensating audio comprising a frequency translation associated with at least the portion of the closed caption data may be generated. The content asset may be caused to be output with audio content comprising the compensating audio and the original audio.

Embodiments of the present disclosure are directed to systems and methods for improving functional hearing. In one aspect, the system may include a housing configured to fit within an ear of a user. The housing may include a speaker, an amplifier, a transmitter, and a power supply. Additionally, the housing may include a memory storing instructions and at least one processor configured to execute instructions. The instructions may include receiving an audio input and amplifying the audio input. The instructions may include outputting the amplified audio input from a speaker. The instructions may include converting the audio input into a visual representation of the audio input and transmitting the visual representation to at least one display.

Embodiments of the present disclosure are directed to systems and methods for improving functional hearing. In one aspect, the system may include a housing configured to fit within an ear of a user. The housing may include a speaker, an amplifier, a transmitter, and a power supply. Additionally, the housing may include a memory storing instructions and at least one processor configured to execute instructions. The instructions may include receiving an audio input and amplifying the audio input. The instructions may include outputting the amplified audio input from a speaker. The instructions may include converting the audio input into a visual representation of the audio input and transmitting the visual representation to at least one display.

An enunciation system (ES) enables users to gain acquaintance, understanding, and mastery of the relationship between letters and sounds in the context of an alphabetic writing system. The ES enables the user to experience the action of sounding out a word, before their own phonics knowledge enables them to sound out the word independently; its continuous, unbroken speech output or input avoids the common confusions that ensue from analyzing words by breaking them up into discrete sounds; its user-controlled pacing allows the user to slow down enunciation at specific points of difficulty within the word; its real-time touch control allows the written word to be “played” like a musical instrument, with expressive and aesthetic possibilities; and its highlighting of the letter cluster that is responsible for the recognized phoneme enunciated by the user as it occurs allows the user to more easily associated the letters with the sounds.

Embodiments for delay-induced miscommunication reduction are provided. The embodiment may include capturing data streams transmitted between participants in an A/V exchange; translating, on a sender device prior to transmission to a recipient device, an audio stream within the data streams to text; timestamping, on a sender device prior to transmission to the recipient device, each word in the translated audio stream; transmitting the audio stream and the sender-side translated and timestamped audio stream to the recipient device; translating, on the recipient device, the transmitted audio stream to text; timestamping, on the recipient device, each word in the translated audio stream; determining a lag exists in the A/V exchange based on a comparison of each timestamp for corresponding words on the sender-side translated and timestamped audio stream and the recipient-side translated and timestamped audio stream; and generating a true transcript of an intended exchange between the participants based on the comparison.

Embodiments for delay-induced miscommunication reduction are provided. The embodiment may include capturing data streams transmitted between participants in an A/V exchange; translating, on a sender device prior to transmission to a recipient device, an audio stream within the data streams to text; timestamping, on a sender device prior to transmission to the recipient device, each word in the translated audio stream; transmitting the audio stream and the sender-side translated and timestamped audio stream to the recipient device; translating, on the recipient device, the transmitted audio stream to text; timestamping, on the recipient device, each word in the translated audio stream; determining a lag exists in the A/V exchange based on a comparison of each timestamp for corresponding words on the sender-side translated and timestamped audio stream and the recipient-side translated and timestamped audio stream; and generating a true transcript of an intended exchange between the participants based on the comparison.

A method for identifying cough sounds in an audio recording of a subject including: operating at least one electronic processor to identify potential cough sounds in the audio recording; operating the at least one electronic processor to transform one or more of the potential cough sounds into corresponding one or more image representations; operating the at least one electronic processor to apply the one or more image representations to a representation pattern classifier trained to confirm that a potential cough sound is a cough sound or is not a cough sound; and operating the at least one electronic processor to flag one or more of the potential cough sounds as confirmed cough sounds based on an output of the representation pattern classifier.

A method for identifying cough sounds in an audio recording of a subject including: operating at least one electronic processor to identify potential cough sounds in the audio recording; operating the at least one electronic processor to transform one or more of the potential cough sounds into corresponding one or more image representations; operating the at least one electronic processor to apply the one or more image representations to a representation pattern classifier trained to confirm that a potential cough sound is a cough sound or is not a cough sound; and operating the at least one electronic processor to flag one or more of the potential cough sounds as confirmed cough sounds based on an output of the representation pattern classifier.

Systems and methods for generating candidate translations for use in creating synthetic or human-acted voice dubbings, aiding human translators in generating translations that match the corresponding video, automatically grading how well a candidate translation matches the corresponding video, suggesting modifications to the speed and/or timing of the translated text to improve the grading of a candidate translation, and suggesting modifications to the voice dubbing and/or video to improve the grading of a candidate translation. In that regard, the present technology may be used to fully automate the process of generating lip-matched translations and associated voice dubbings, or as an aid for human-in-the-loop processes that may reduce or eliminate the time and effort required from translators, adapters, voice actors, and/or audio editors to generate voice dubbings.