Abstract: Methods and systems are disclosed herein for improving the quality of audio for use in a biometric. A biometric system may use machine learning to determine whether audio or a portion of the audio should be used as a biometric for a user. A sample of the user's voice may be used to generate a voice signature of the user. Portions of the audio that do not meet a similarity threshold when compared with the voice signature may be removed from the audio. Additionally or alternatively, interfering noises may be detected and removed from the audio to improve the quality of a voice biometric generated from the audio.

Abstract: Methods and systems are disclosed herein for improving the quality of audio for use in a biometric. A biometric system may use machine learning to determine whether audio or a portion of the audio should be used as a biometric for a user. A sample of the user’s voice may be used to generate a voice signature of the user. Portions of the audio that do not meet a similarity threshold when compared with the voice signature may be removed from the audio. Additionally or alternatively, interfering noises may be detected and removed from the audio to improve the quality of a voice biometric generated from the audio.

Abstract: Methods and systems are disclosed herein for improving the quality of audio for use in a biometric. A biometric system may use machine learning to determine whether audio or a portion of the audio should be used as a biometric for a user. A sample of the user's voice may be used to generate a voice signature of the user. Portions of the audio that do not meet a similarity threshold when compared with the voice signature may be removed from the audio. Additionally or alternatively, interfering noises may be detected and removed from the audio to improve the quality of a voice biometric generated from the audio.

Abstract: Methods and systems are disclosed herein for improving the quality of audio for use in a biometric. A biometric system may use machine learning to determine whether audio or a portion of the audio should be used as a biometric for a user. A sample of the user's voice may be used to generate a voice signature of the user. Portions of the audio that do not meet a similarity threshold when compared with the voice signature may be removed from the audio. Additionally or alternatively, interfering noises may be detected and removed from the audio to improve the quality of a voice biometric generated from the audio.

Abstract: Methods and systems are disclosed herein for improving the quality of audio for use in a biometric. A biometric system may use machine learning to determine whether audio or a portion of the audio should be used as a biometric for a user. A sample of the user's voice may be used to generate a voice signature of the user. Portions of the audio that do not meet a similarity threshold when compared with the voice signature may be removed from the audio. Additionally or alternatively, interfering noises may be detected and removed from the audio to improve the quality of a voice biometric generated from the audio.

Abstract: Methods and systems are disclosed herein for improving the quality of audio for use in a biometric. A biometric system may use machine learning to determine whether audio or a portion of the audio should be used as a biometric for a user. A sample of the user's voice may be used to generate a voice signature of the user. Portions of the audio that do not meet a similarity threshold when compared with the voice signature may be removed from the audio. Additionally or alternatively, interfering noises may be detected and removed from the audio to improve the quality of a voice biometric generated from the audio.

Abstract: A foldable electronic device includes a upper housing, a lower housing, and at least one energy module which further included thermoelectric materials which may convert heat to electric power. The energy module may supply power to at least one of heat generating component in the portable electronic device. A heat remover composed of graphene may be in thermal contact with the at least one of the components. The heat remover may also disposed over a surface of the energy module and may be formed one or more heat conduction path depends on the position of the upper and lower housings.

Abstract: A wearable portable electronic device includes at least one energy module which further included thermoelectric materials which may convert heat to electric power. A plurality of heat spreader thermally and electronically contact to at least one wall of an enclosure of the wearable portable electronic device by using graphene layer.

Abstract: A foldable electronic device includes a upper housing, a lower housing, and at least one energy module which further included thermoelectric materials which may convert heat to electric power. The energy module may supply power to at least one of heat generating component in the portable electronic device. A heat remover composed of graphene may be in thermal contact with the at least one of the components. The heat remover may also disposed over a surface of the energy module and may be formed one or more heat conduction path depends on the position of the upper and lower housings.

Abstract: A portable electronic device includes at least one energy module which further included thermoelectric materials which may convert heat to electric power. A plurality of heat removers selectively thermal contact to at least one wall of an enclosure of the portable electronic device depended on the configuration of the portable electronic device.

Abstract: A portable electronic device includes at least one energy module which further included thermoelectric materials which may convert heat to electric power. The energy module may supply power to at least one of heat generating component in the portable electronic device. A heat remover composed of graphene may be in thermal contact with the at least one of the components. The heat remover may also disposed over a surface of the energy module and may be formed one or more heat conduction path.

Abstract: A portable electronic device includes at least one energy module which further included thermoelectric materials which may convert heat to electric power. The energy module may supply power to at least one of heat generating component in the portable electronic device. A heat remover composed of graphene may be in thermal contact with the at least one of the components. The heat remover may also disposed over a surface of the energy module and may be formed one or more heat conduction path.