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.

An embodiment of the present disclosure discloses an in-vehicle voice command recognition method and apparatus, and a storage medium. The method comprises: acquiring a voice command inputted by a user; determining basic information of the user according to a pre-trained deep neural network (DNN) model; identifying contents of the voice command according to the basic information of the user, and determining at least one potential user intention according to the identified contents and a scenario page context at the time when the user inputs the voice command; determining a confidence level of the potential user intention according to the DNN model; determining a real user intention from the potential user intention according to the confidence level; and executing a corresponding action according to the real user intention. The in-vehicle voice command recognition method and apparatus, and the storage medium provided in the embodiments of the present disclosure can effectively improve the correct recognition rate of voice commands.

Audio encoding methods/terminals, audio decoding methods/terminals, and audio codec systems are provided. A plurality of audio signals that are continuous is obtained. it is determined whether each audio signal of the plurality of audio signals includes a designated signal type, according to an audio parameter of each audio signal. A marked audio encoding stream is obtained by performing a marking to each audio signal as having or not having the designated signal type. The marking is used, at a decoding terminal, to perform an enhancement-process to one or more audio signals having the designated signal type. The enhancement-process is not performed to audio signals that do not have the designated signal type.

The present document discloses a method and apparatus for compensating for a lost frame in a transform domain, comprising: calculating frequency-domain coefficients of a current lost frame using frequency-domain coefficients of one or more frames prior to the current lost frame, and performing frequency-time transform to obtain an initially compensated signal; and performing waveform adjustment, to obtain a compensated signal. Alternatively, extrapolation is performed for all or part of frequency points of the current lost frame using phases and amplitudes of corresponding frequency points of a plurality of previous frames to obtain phases and amplitudes of the corresponding frequency points of the current lost frame, to obtain frequency-domain coefficients of the corresponding frequency points, and frequency-time transform is performed to obtain a compensated signal. The above methods can be selected through a judgment algorithm to compensate for the current lost frame, thereby achieving a better compensation effect.

Audio encoding methods/terminals, audio decoding methods/terminals, and audio codec systems are pro vided, A plurality of audio signals that are continuous is obtained, it is determined whether each audio signal of the plurality of audio signals includes a designated signal type, according to an audio parameter of each audio signal. A marked audio encoding stream is obtained by performing a marking to each audio signal as having or not having the designated signal type. The marking is used, at a decoding terminal, to perform an enhancement-process to one or more audio signals having the designated signal type. The enhancement-process is not performed to audio signals that do not have the designated signal type.

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.

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.

An audio codec system which uses a memory to buffer frames of audio while signal power levels of the frames of audio buffered in the memory are detected to generate a signal power look-forward value and zero-crossing points of the frames of audio buffered in the memory are detected to obtain available calibration points for gain control due to a change of the signal power look-forward value. The gain control is divided to be performed at the available calibration points.

An audio codec system which uses a memory to buffer frames of audio while signal power levels of the frames of audio buffered in the memory are detected to generate a signal power look-forward value and zero-crossing points of the frames of audio buffered in the memory are detected to obtain available calibration points for gain control due to a change of the signal power look-forward value. The gain control is divided to be performed at the available calibration points.

A processing path may include a controller and a plurality of processing paths including a first processing path and a second processing path. The first path may be configured to generate a first digital signal based on an analog input signal and the second path may be configured to generate a second digital signal based on the analog input signal, wherein the first path has a lower gain and a higher noise floor than the second path. The controller may be configured to determine that a transition between the first path and the second path needs to occur based on the analog input signal crossing a threshold or a prediction that the input signal will cross the threshold and in response to determining the transition between the first path and the second path needs to occur, blend the transition during or near zero cross points of the analog input signal.