APPARATUS AND METHOD FOR IMPROVING AN AUDIO SIGNAL IN THE SPECTRAL DOMAIN

摘要

Method of improving audio signal in the spectral domain starts by receiving audio signal that includes signals from sources including speech source and music source. Audio signal is tuned for output by sound output device. Portions of audio signal are analyzed in a spectral domain to determine whether adjustments are required. Analyzing portions of audio signal includes determining whether anomaly is present in frequency band of audio signal in spectral domain by using at least one metric. Metrics include band energy ratios, spectral centroid, spectral tilt, spectral flux, spectral variance, absolute thresholds, and relative thresholds. Audio signal is adjusted to improve audio signal in spectral domain when audio signal is determined to require adjustments. Adjusting audio signal includes adjusting values of the metric in frequency band that is determined to include anomaly to correspond to clustering of metric values for audio signal in spectral domain. Other embodiments are also described.

主权项

1. A method of improving an audio signal in the spectral domain comprising:
receiving by a spectral corrector the audio signal that includes signals from plurality of sources, the plurality of sources including a speech source and a music source, wherein the audio signal is tuned for output by a sound output device; analyzing by the spectral corrector portions of the audio signal in a spectral domain to determine whether the audio signal requires adjustments, wherein analyzing portions of the audio signal includes determining whether an anomaly is present in a frequency band of the audio signal in the spectral domain by using at least one of a plurality of metrics; and adjusting by the spectral corrector the audio signal to improve the audio signal in the spectral domain when the audio signal is determined to require adjustments, wherein adjusting the audio signal includes adjusting values of the at least one metric in the frequency band that is determined to include the anomaly to correspond to a clustering of values of the at least one of the plurality of metrics for the audio signal in a spectral domain.