Disclosed herein are techniques for digital content integration. A computer-implemented method includes receiving a target digital content item that includes a plurality of frames, identifying a set of candidate host frames for inserting source digital content items from the plurality of frames based on one or more attributes of the target digital content item, determining a candidate score for each respective candidate host frame of the candidate host frames, and generating host time defining data including identifications and the candidate scores of the candidate host frames, where the candidate score indicates a degree of transition of the target digital content item at the candidate host frame. One or more candidate host frames are then selected based on the candidate scores for inserting one or more source digital content items into the target digital content item.

The present disclosure is directed to a device and method for detecting presence or absence of human speech. The device and method utilize a low-power accelerometer. The device and method generate an acceleration signal using the accelerometer, filter the acceleration signal with a band pass filter or a high pass filter, determine at least one calculation of the filtered acceleration signal, detect a presence or absence of a voice based on the at least one calculation, and output a detection signal that indicates the presence or absence of the voice. The device and method are well suited for portable audio devices, such as true wireless stereo headphones, that have a limited power supply.

The present disclosure is directed to a device and method for detecting presence or absence of human speech. The device and method utilize a low-power accelerometer. The device and method generate an acceleration signal using the accelerometer, filter the acceleration signal with a band pass filter or a high pass filter, determine at least one calculation of the filtered acceleration signal, detect a presence or absence of a voice based on the at least one calculation, and output a detection signal that indicates the presence or absence of the voice. The device and method are well suited for portable audio devices, such as true wireless stereo headphones, that have a limited power supply.

A voice encoder/decoder (vocoder) may provide receiving a voice sample and generating zero crossings of the voice sample in response to voice excitation in a first formant and creating a corresponding output signal. Additional operations may include dividing the output signal by two, and sampling the output signal at a predefined frequency such that a resulting combination uses half of a bit rate for an excitation and a remainder for short term spectrum analysis.

A digital content reproduction control signal for controlling a reproduction of digital content includes: a first control signal (SG1) having a time code signal recorded therein and having a predetermined frequency; and a second control signal (SG2) having a 2n-fold frequency of the frequency of the first control signal, n representing a natural number, in which the first control signal (SG1) and the second control signal (SG2) are combined such that zero-cross points of a waveform of the first control signal (SG1) are aligned with zero-cross points of a waveform of the second control signal (SG2) on a time axis.

A digital content reproduction control signal for controlling a reproduction of digital content includes: a first control signal (SG1) having a time code signal recorded therein and having a predetermined frequency; and a second control signal (SG2) having a 2n-fold frequency of the frequency of the first control signal, n representing a natural number, in which the first control signal (SG1) and the second control signal (SG2) are combined such that zero-cross points of a waveform of the first control signal (SG1) are aligned with zero-cross points of a waveform of the second control signal (SG2) on a time axis.

Methods and arrangements involving electronic devices, such as smartphones, tablet computers, wearable devices, etc., are disclosed. One arrangement involves a low-power processing technique for discerning cues from audio input. Another involves a technique for detecting audio activity based on the Kullback-Liebler divergence (KLD) (or a modified version thereof) of the audio input. Still other arrangements concern techniques for managing the manner in which policies are embodied on an electronic device. Others relate to distributed computing techniques. A great variety of other features are also detailed.

In described examples, a method for detecting voice activity includes: receiving a first input signal containing noise; sampling the first input signal to form noise samples; determining a first value corresponding to the noise samples; subsequently receiving a second input signal; sampling the second input signal to form second signal samples; determining a second value corresponding to the second signal samples; forming a ratio of the second value to the first value; comparing the ratio to a predetermined threshold value; and responsive to the comparing, indicating whether voice activity is detected in the second input signal.

In described examples, a method for detecting voice activity includes: receiving a first input signal containing noise; sampling the first input signal to form noise samples; determining a first value corresponding to the noise samples; subsequently receiving a second input signal; sampling the second input signal to form second signal samples; determining a second value corresponding to the second signal samples; forming a ratio of the second value to the first value; comparing the ratio to a predetermined threshold value; and responsive to the comparing, indicating whether voice activity is detected in the second input signal.

A musical sound evaluation device includes a musical sound acquisition unit which acquires an inputted musical sound, a feature quantity calculation unit which calculates a feature quantity from the musical sound, a feature quantity distribution data acquisition unit which acquires feature quantity distribution data representing a distribution of respective feature quantities for a plurality of musical sounds previously acquired, an evaluation value calculation unit which calculates an evaluation value for the inputted musical sound based on the feature quantity calculated by the feature quantity calculation unit and the feature quantity distribution data acquired by the feature quantity distribution data acquisition unit, and an evaluation unit which evaluates the musical sound based on the evaluation value.