A method of dynamic voice enhancement, comprising: performing a first path signal processing, the first path signal processing comprising receiving an audio source input and performing dynamic loudness balancing on the audio source input based on a first gain control parameter; performing a second path signal processing, the second path signal processing comprising: performing voice detection on the audio source input and calculating a detection confidence, wherein the detection confidence indicates the possibility of voice in the audio source input; and calculating a second gain control parameter based on the detection confidence; and updating the first gain control parameter with the second gain control parameter, and performing the first path signal processing based on the updated first gain control parameter; wherein the audio source input comprises a multi-channel source input, and the performing voice detection on the audio source input and calculating a detection confidence comprises: extracting a center channel signal from the multi-channel source input; performing normalization on the center channel signal; and performing fast autocorrelation on the normalized center channel signal, the result of the fast autocorrelation representing the detection confidence. performing a first path signal processing, the first path signal processing comprising receiving an audio source input and performing dynamic loudness balancing on the audio source input based on a first gain control parameter; performing a second path signal processing, the second path signal processing comprising: performing voice detection on the audio source input and calculating a detection confidence, wherein the detection confidence indicates the possibility of voice in the audio source input; and calculating a second gain control parameter based on the detection confidence; and updating the first gain control parameter with the second gain control parameter, and performing the first path signal processing based on the updated first gain control parameter; wherein the audio source input comprises a multi-channel source input, and the performing voice detection on the audio source input and calculating a detection confidence comprises: extracting a center channel signal from the multi-channel source input; performing normalization on the center channel signal; and performing fast autocorrelation on the normalized center channel signal, the result of the fast autocorrelation representing the detection confidence. performing voice detection on the audio source input and calculating a detection confidence, wherein the detection confidence indicates the possibility of voice in the audio source input; and calculating a second gain control parameter based on the detection confidence; and updating the first gain control parameter with the second gain control parameter, and performing the first path signal processing based on the updated first gain control parameter; wherein the audio source input comprises a multi-channel source input, and the performing voice detection on the audio source input and calculating a detection confidence comprises: extracting a center channel signal from the multi-channel source input; performing normalization on the center channel signal; and performing fast autocorrelation on the normalized center channel signal, the result of the fast autocorrelation representing the detection confidence. extracting a center channel signal from the multi-channel source input; performing normalization on the center channel signal; and performing fast autocorrelation on the normalized center channel signal, the result of the fast autocorrelation representing the detection confidence. <EOS>