Abstract:
A method for echo reduction by an electronic device is described. The method includes nulling at least one speaker. The method also includes mixing a set of runtime audio signals based on a set of acoustic paths to determine a reference signal. The method also includes receiving at least one composite audio signal that is based on the set of runtime audio signals. The method further includes reducing echo in the at least one composite audio signal based on the reference signal.
Abstract:
A wireless device is described. The wireless device includes at least two microphones on the wireless device. The microphones are configured to capture sound from a target user. The wireless device also includes processing circuitry. The processing circuitry is coupled to the microphones. The processing circuitry is configured to locate the target user. The wireless device further includes a communication interface. The communication interface is coupled to the processing circuitry. The communication interface is configured to receive external device microphone audio from at least one external device microphone to assist the processing circuitry in the wireless device to locate the target user.
Abstract:
A method for speech restoration by an electronic device is described. The method includes obtaining a noisy speech signal. The method also includes suppressing noise in the noisy speech signal to produce a noise-suppressed speech signal. The noise-suppressed speech signal has a bandwidth that includes at least three subbands. The method further includes iteratively restoring each of the at least three subbands. Each of the at least three subbands is restored based on all previously restored subbands of the at least three subbands.
Abstract:
A method for signal level matching by an electronic device is described. The method includes capturing a plurality of audio signals from a plurality of microphones. The method also includes determining a difference signal based on an inter-microphone subtraction. The difference signal includes multiple harmonics. The method also includes determining whether a harmonicity of the difference signal exceeds a harmonicity threshold. The method also includes preserving the harmonics to determine an envelope. The method further applies the envelope to a noise-suppressed signal.
Abstract:
A method of processing audio may include receiving, by a computing device, a plurality of real-time audio signals outputted by a plurality of microphones communicatively coupled to the computing device. The computing device may output to a display a graphical user interface (GUI) that presents audio information associated with the received audio signals. The one or more received audio signals may be processed based on a user input associated with the audio information presented via the GUI to generate one or more processed audio signals. The one or more processed audio signals may be output to, for example, one or more output devices such as speakers, headsets, and the like.
Abstract:
A device includes a memory, a receiver, a processor, and a display. The memory is configured to store a speaker model. The receiver is configured to receive an input audio signal. The processor is configured to determine a first confidence level associated with a first portion of the input audio signal based on the speaker model. The processor is also configured to determine a second confidence level associated with a second portion of the input audio signal based on the speaker model. The display is configured to present a graphical user interface associated with the first confidence level or associated with the second confidence level.
Abstract:
A method for evaluating strength of an audio password by an electronic device is described. The method includes obtaining an audio signal captured by one or more microphones. The audio signal includes an audio password. The method also includes evaluating the strength of the audio password based on measuring one or more unique characteristics of the audio signal. The method further includes informing a user that the audio password is weak based on the evaluation of the strength of the audio password.
Abstract:
A method for enhancing an audio signal by an electronic device is described. The method includes determining formant peaks based on an audio signal. The method also includes generating formant peak models. Generating formant peak models includes individually modeling each formant peak. The method further includes generating a global envelope based on the formant peak models.
Abstract:
A method for noise characteristic dependent speech enhancement by an electronic device is described. The method includes determining a noise characteristic of input audio. Determining a noise characteristic of input audio includes determining whether noise is stationary noise and determining whether the noise is music noise. The method also includes determining a noise reference based on the noise characteristic. Determining the noise reference includes excluding a spatial noise reference from the noise reference when the noise is stationary noise and including the spatial noise reference in the noise reference when the noise is not music noise and is not stationary noise. The method further includes performing noise suppression based on the noise characteristic.
Abstract:
Systems, methods, and apparatus for pitch trajectory analysis are described. Such techniques may be used to remove vocals and/or vibrato from an audio mixture signal. For example, such a technique may be used to pre-process the signal before an operation to decompose the mixture signal into individual instrument components.