A method of processing audio signals to identify content, the method comprising: receiving digitized audio content; decoding the audio content using a multichannel audio decoder configured to decode one or more audio formats; segmenting frames of the decoded audio content by applying a windowing function to a given audio frame using a first window type having a time width approximately equal to a delay time of the multichannel audio decoder; calculating an estimate of a power spectrum of a given frame; applying a mel filter bank to the power spectrum of the given frame and providing resulting filter bank energies; applying a DCT matrix to the resulting filter bank energies to generate a DCT output; taking a log of the DCT output to generate a first Mel-frequency cepstral coefficient 4-; dynamically calculating a first threshold for the content configured to detect near silence, wherein dynamically calculating the first threshold for the content comprises: identifying a set of statistics utilizing a second window type, the second window type having a time width between about 1 and 4 magnitudes greater than the first window time width, the statistics comprising minimum values of first Mel-frequency cepstral coefficients corresponding to content windowed using the second window type; determining a standard deviation for the minimum values of first Mel-frequency cepstral coefficients; calculating the threshold based at least in part on the set of statistics and the standard deviation; and utilizing the first Mel-frequency cepstral coefficient and the dynamically calculated first threshold to detect a near silence between content of different types and to identify the types of content separated by the near silence. receiving digitized audio content; decoding the audio content using a multichannel audio decoder configured to decode one or more audio formats; segmenting frames of the decoded audio content by applying a windowing function to a given audio frame using a first window type having a time width approximately equal to a delay time of the multichannel audio decoder; calculating an estimate of a power spectrum of a given frame; applying a mel filter bank to the power spectrum of the given frame and providing resulting filter bank energies; applying a DCT matrix to the resulting filter bank energies to generate a DCT output; taking a log of the DCT output to generate a first Mel-frequency cepstral coefficient 4-; dynamically calculating a first threshold for the content configured to detect near silence, wherein dynamically calculating the first threshold for the content comprises: identifying a set of statistics utilizing a second window type, the second window type having a time width between about 1 and 4 magnitudes greater than the first window time width, the statistics comprising minimum values of first Mel-frequency cepstral coefficients corresponding to content windowed using the second window type; determining a standard deviation for the minimum values of first Mel-frequency cepstral coefficients; calculating the threshold based at least in part on the set of statistics and the standard deviation; and utilizing the first Mel-frequency cepstral coefficient and the dynamically calculated first threshold to detect a near silence between content of different types and to identify the types of content separated by the near silence. identifying a set of statistics utilizing a second window type, the second window type having a time width between about 1 and 4 magnitudes greater than the first window time width, the statistics comprising minimum values of first Mel-frequency cepstral coefficients corresponding to content windowed using the second window type; determining a standard deviation for the minimum values of first Mel-frequency cepstral coefficients; calculating the threshold based at least in part on the set of statistics and the standard deviation; and utilizing the first Mel-frequency cepstral coefficient and the dynamically calculated first threshold to detect a near silence between content of different types and to identify the types of content separated by the near silence.