Abstract: Systems and methods for audio signal processing including an input interface to receive a noisy audio signal including a mixture of target audio signal and noise. An encoder to map each time-frequency bin of the noisy audio signal to one or more phase-related value from one or more phase quantization codebook of phase-related values indicative of the phase of the target signal. Calculate, for each time-frequency bin of the noisy audio signal, a magnitude ratio value indicative of a ratio of a magnitude of the target audio signal to a magnitude of the noisy audio signal. A filter to cancel the noise from the noisy audio signal based on the phase-related values and the magnitude ratio values to produce an enhanced audio signal. An output interface to output the enhanced audio signal.

Abstract: Some embodiments of the invention are directed to enabling a user to modify the manner in which one or more settings specified by a predefined template for a particular sound source are applied, so as to provide the user with greater control over the settings which are applied to a track than conventional tools afford. Some embodiments are directed to automatically applying one or more settings for a track based at least in part upon an analysis of the spectral and/or dynamic content of the track, such as by automatically performing sound equalization by applying one or more digital filters to a track, defining the frequency range(s) in which one or more filter(s) are applied, applying dynamic range compression, defining the manner in which compression is applied in multiple sub-bands of the audible spectrum, and/or applying one or more other settings. Such settings may be designed to achieve any of numerous (e.g.

Abstract: Some embodiments of the invention are directed to enabling a user to easily identify the frequency range(s) at which sound masking occurs, and addressing the masking, if desired. In this respect, the extent to which a first stem is masked by one or more second stems in a frequency range may depend not only on the absolute value of the energy of the second stem(s) in the frequency range, but also on the relative energy of the first stem with respect to the second stem(s) in the frequency range. Accordingly, some embodiments are directed to modeling sound masking as a function of the energy of the stem being masked and of the relative energy of the masked stem with respect to the masking stem(s) in the frequency range, such as by modeling sound masking as loudness loss, a value indicative of the reduction in loudness of a stem of interest caused by the presence of one or more other stems in a frequency range.

Abstract: Some embodiments of the invention are directed to enabling a user to easily identify the frequency range(s) at which sound masking occurs, and addressing the masking, if desired. In this respect, the extent to which a first stem is masked by one or more second stems in a frequency range may depend not only on the absolute value of the energy of the second stem(s) in the frequency range, but also on the relative energy of the first stem with respect to the second stem(s) in the frequency range. Accordingly, some embodiments are directed to modeling sound masking as a function of the energy of the stem being masked and of the relative energy of the masked stem with respect to the masking stem(s) in the frequency range, such as by modeling sound masking as loudness loss, a value indicative of the reduction in loudness of a stem of interest caused by the presence of one or more other stems in a frequency range.

Abstract: Some embodiments of the invention are directed to enabling a user to easily identify the frequency range(s) at which sound masking occurs, and addressing the masking, if desired. In this respect, the extent to which a first stem is masked by one or more second stems in a frequency range may depend not only on the absolute value of the energy of the second stem(s) in the frequency range, but also on the relative energy of the first stem with respect to the second stem(s) in the frequency range. Accordingly, some embodiments are directed to modeling sound masking as a function of the energy of the stem being masked and of the relative energy of the masked stem with respect to the masking stem(s) in the frequency range, such as by modeling sound masking as loudness loss, a value indicative of the reduction in loudness of a stem of interest caused by the presence of one or more other stems in a frequency range.

Abstract: Some embodiments of the invention are directed to enabling a user to modify the manner in which one or more settings specified by a predefined template for a particular sound source are applied, so as to provide the user with greater control over the settings which are applied to a track than conventional tools afford. Some embodiments are directed to automatically applying one or more settings for a track based at least in part upon an analysis of the spectral and/or dynamic content of the track, such as by automatically performing sound equalization by applying one or more digital filters to a track, defining the frequency range(s) in which one or more filter(s) are applied, applying dynamic range compression, defining the manner in which compression is applied in multiple sub-bands of the audible spectrum, and/or applying one or more other settings. Such settings may be designed to achieve any of numerous (e.g.