Abstract: A stringed musical instrument includes: a musical instrument body configured such that a string is attached thereto; a pickup configured to: i) detect vibration of the string and ii) output a string vibration signal according to the vibration; a detection sensor that is: i) attached to the musical instrument body and ii) configured to output a detection signal according to a force applied to the musical instrument body; and a controller that is attached to the musical instrument body, and is configured to output, based on the detection signal, a control signal configured to control an operation of an effector configured to impart an effect to the string vibration signal.

Abstract: A vocal effect processing system may include an effect modification module configured to selectively and dynamically apply effects to an input audio signal in accordance with a degree of likelihood that the input audio signal includes a vocal signal and/or based on a proximate location of a source of vocal audio with respect to a vocal microphone. Determination of the degree of likelihood that the input audio signal includes a vocal signal and/or the proximate location may be based on processing of the input audio signal or a plurality of input audio signals. Determination of the proximate location may alternatively, or in addition, be estimated based on a proximity sensor. The effect modification module may dynamically and selectively adjust the effects in response to changes in the degree of likelihood that the vocal signal is included in the input audio signal and/or changes in the estimated proximate location.

Abstract: A vocal effect processing system may include an effect modification module configured to selectively and dynamically apply effects to an input audio signal in accordance with a degree of likelihood that the input audio signal includes a vocal signal and/or based on a proximate location of a source of vocal audio with respect to a vocal microphone. Determination of the degree of likelihood that the input audio signal includes a vocal signal and/or the proximate location may be based on processing of the input audio signal or a plurality of input audio signals. Determination of the proximate location may alternatively, or in addition, be estimated based on a proximity sensor. The effect modification module may dynamically and selectively adjust the effects in response to changes in the degree of likelihood that the vocal signal is included in the input audio signal and/or changes in the estimated proximate location.

Abstract: A vocal effect processing system may include an effect modification module configured to selectively and dynamically apply effects to an input audio signal in accordance with a degree of likelihood that the input audio signal includes a vocal signal and/or based on a proximate location of a source of vocal audio with respect to a vocal microphone. Determination of the degree of likelihood that the input audio signal includes a vocal signal and/or the proximate location may be based on processing of the input audio signal or a plurality of input audio signals. Determination of the proximate location may alternatively, or in addition, be estimated based on a proximity sensor. The effect modification module may dynamically and selectively adjust the effects in response to changes in the degree of likelihood that the vocal signal is included in the input audio signal and/or changes in the estimated proximate location.

Abstract: An improved method of performing channel selection in multi-channel pitch detection systems. For each channel, several features are computed using the input signal and the value of the pitch candidate from the channel. The resulting feature vector is used to evaluate a multi-variate likelihood function which defines the likelihood that the pitch candidate represents the correct pitch. The final pitch estimate is then taken to be the pitch candidate with the highest likelihood of being correct, or the mean (or median) of the pitch candidates with likelihoods above a given threshold. The functional form of the likelihood function can be defined using several different parametric representations, and the parameters of the likelihood function can be advantageously derived in an automated manner using signals having pitch labels that are considered to be correct. This represents a significant improvement over previous channel selection methods where the parameters are chosen laboriously by hand.