Abstract: An audio encoding method and a corresponding decoding method are provided. Accordingly, the pre-echo effect of the audio transient signal is eliminated and the distortion of the transient signal is mitigated. The technical solution includes performing time-domain processing on an input audio transient signal; dividing sampling points x1,x2, . . . , xN of an input frame into L segments; calculating an energy Ei for each segment; calculating an average energy E0 for each segment of the input frame; calculating a multiplying parameter ?i corresponding to each segment by virtue of ?i=r(bitrate)*E0/Ei; multiplying the sampling points of all the segments of the input frame by corresponding multiplying parameter ?i, obtaining the processed sampling points x1?,x2?, . . . , xN?; and sending the multiplying parameter ?i to a code stream for transportation; performing time-frequency transformation and coding on the processed sampling points x1?,x2?, . . . , xN? and outputting to the code stream.

Abstract: A method for post-processing of speech signals includes using a pitch correction filter, a pitch weight parameter adjustor, and a first pitch enhancement filter to process the input signal into a first output signal; summing both the input signal and the first output signal as a second output signal; and using a second pitch enhancement filter to process the second output signal. Furthermore, another method for post-processing of speech signals includes using a second pitch enhancement filter to process the input signal into a second output signal; using a pitch correction filter, a pitch weight parameter adjustor, and a first pitch enhancement filter to process the second output signal into a first output signal; and summing both the second output signal and the first output signal as a final output signal. The two methods can simultaneously realize pitch emphasis and enhancement with low computation complexity.

Abstract: A method for detecting voice activity comprises pre-processing a first frame in an audio frame sequence, receiving a subsequent frame as a current frame, calculating weighted linear prediction energy of the current frame based on Nth-order linear prediction coefficients, determining whether the current frame contains a noise or speech, if a speech is indicated, performing linear prediction analysis on the current frame to derive new Nth-order linear prediction coefficients and updating the coefficients with the derived one; if a nose is indicated and not the last frame, repeating the calculating and determining process. The corresponding device comprises a component for storing Nth-order linear prediction coefficients, a component for performing linear prediction analysis, a component for computing weighted linear prediction energy and a component for determining whether the current frame contains speech or noise based on calculated weighted linear prediction energy.

Abstract: An audio encoding method and a corresponding decoding method are provided according to the present invention. Accordingly, the pre-echo effect of the audio transient signal is eliminated and the distortion of the transient signal is mitigated. The technical solution includes performing time-domain processing on an input audio transient signal; dividing sampling points x1, x2, . . .

Abstract: Methods and apparatus for post-processing of speech signals are disclosed herein.

Abstract: Methods and apparatus for voice activity detection are disclosed.