Abstract: The present disclosure provides a method for detecting voice using an in-ear audio sensor, including performing the following processing on each frame of input signals collected by the in-ear audio sensor: calculating a count change value based on at least one feature of an input signal of a current frame, wherein the at least one feature includes at least one of an estimated signal-to-noise ratio, a spectral centroid, a spectral flux, a spectral flux difference value, spectral flatness, energy distribution, and spectral correlations between adjacent frames; adding the calculated count change value with a previous count value of a previous frame to obtain a current count value; comparing the obtained current count value with a count threshold; and determining the category of the input signal of the current frame based on the comparison result and feature attributes, wherein the category includes noise, voiced sound, or unvoiced sound.

Abstract: A volume controller may maintain a volume mapping including a plurality of zones of volume level, each zone defined according to a range of included volume levels and specifying a volume ramp up control rate and a volume ramp down control rate for adjustment of volume levels within the range, determine, according to the volume mapping based on a current volume level and a direction of a requested volume change, a step value for adjusting the current volume level, and adjust the current volume level according to the step value.

Abstract: A volume controller may maintain a volume mapping including a plurality of zones of volume level, each zone defined according to a range of included volume levels and specifying a volume ramp up control rate and a volume ramp down control rate for adjustment of volume levels within the range, determine, according to the volume mapping based on a current volume level and a direction of a requested volume change, a step value for adjusting the current volume level, and adjust the current volume level according to the step value.

Abstract: A system adapted to process non-karaoke-mode audio content for karaoke presentations is provided. An audio filter module filters a vocal portion from the non-karaoke-mode audio content to obtain filtered audio content. An audio rendering module renders the filtered audio content to generate an audio signal for output of the filtered audio content at an audio output device. A lyric acquiring module acquires lyric information associated with the non-karaoke-mode audio content. A lyric rendering module renders the lyric information to generate a display signal for display of the lyric information such that the lyric information is adapted to be displayed synchronously with the output of the filtered audio content.

Abstract: A Fine Granular Scalability (FGS) encoding system and method having a base layer encoder and an enhancement layer encoder, wherein the base layer encoder comprises: a discrete cosine transform (DCT) system for generating a DCT signal having a Y component and a U/V component; and a quantizer system for separately quantizing the Y component and U/V component such that more bits can be assigned to the Y component than the U/V component.