Audio systems and methods are provided that receive a sound management input signal as a reference signal to remove related content from a microphone signal in, e.g., an automotive hands-free system. The sound management signal may provide an acoustic augmentation to reduce, enhance, or create an acoustic effect, e.g., of an engine, motor, or other operating components. A signal processor receives the sound management signal and the microphone signal, and reduces or removes the sound management signal components from the microphone signal.

Example techniques involve systems with multiple acoustic echo cancellers. An example implementation captures first audio within an acoustic environment and detecting, within the captured first audio content, a wake-word. In response to the wake-word and before playing an acknowledgement tone, the implementation activates (a) a first sound canceller when one or more speakers are playing back audio content or (b) a second sound canceller when the one or more speakers are idle. In response to the wake-word and after activating either (a) the first sound canceller or (b) the second sound canceller, the implementation outputs the acknowledgement tone via the one or more speakers. The implementation captures second audio within the acoustic environment and cancelling the acoustic echo of the acknowledgement tone from the captured second audio using the activated sound canceller.

A voice processing device includes plural microphones 22 disposed in a vehicle, a voice source direction determination portion 16 determining a direction of a voice source by handling a sound reception signal as a spherical wave in a case where the voice source serving as a source of a voice included in the sound reception signal obtained by each of the plural microphones is disposed at a near field, the voice source direction determination portion determining the direction of the voice source by handling the sound reception signal as a plane wave in a case where the voice source is disposed at the far field, and a beamforming processing portion 12 performing beamforming so as to suppress a sound arriving from a direction range other than a direction range including the direction of the voice source.

Systems, methods, and computer program product embodiments are disclosed for removing any fixed frequency interfering signal from an input signal without introducing artifacts that are not part of the original signal of interest. An embodiment operates by using a virtual buffer with a length that matches a length of one cycle of an interfering signal. The embodiment extracts the interfering signal into the virtual buffer. For a sample in the next cycle of the interfering signal that corresponds to a virtual memory location for the virtual buffer, the embodiment can update one or more physical memory locations of the virtual buffer that are in the vicinity of the virtual memory location. This use of virtual buffer can remove any interfering signal without creating the artifacts associated with conventional notch filters.

Provided is a noise signal suppressing device including: an input unit configured to receive a sound signal; a time/frequency converting unit; an independent peak spectrum extracting unit configured to extract a peak spectrum having independence; a persistence determining unit configured to determine that the peak spectrum having independence persists for a predetermined period or longer; a noise-signal suppressing unit configured to suppress the peak spectrum having independence as the noise signal. The independent peak spectrum extracting unit includes: a first peak extracting unit configured to extract a peak spectrum having higher energy than that of an adjacent frequency signal, and a second peak extracting unit configured to extract a peak spectrum maintaining a frequency interval of equal to or larger than a predetermined value with respect to a peak spectrum adjacent thereto as the peak spectrum having independence.

A method and device for noise-reduction processing and an earphone are disclosed. The method includes: collecting an environmental-sound signal by using a feedforward microphone to acquire amplitude information and spectrum information of the environmental-sound signal; performing feedforward noise-reduction processing on the environmental-sound signal according to the amplitude information of the environmental-sound signal, and extracting a sound signal having a specified frequency in the environmental-sound signal according to the spectrum information of the environmental-sound signal; and outputting the sound signal having the specified frequency together with the signal after being feedforward noise-reduction processed. The present disclosure can realize the monitoring of the valuable sound signal having a specified frequency in the environmental-sound signal.

Embodiments of this application provide an audio data processing method performed by a computer device. The method includes the following steps: acquiring recorded audio; determining prototype audio matching a background reference audio component of the recorded audio from an audio database; extracting candidate speech audio from the recorded audio according to the prototype audio; determining a difference between the recorded audio and the candidate speech audio as the background reference audio component comprised in the recorded audio; performing environmental noise reduction on the candidate speech audio to obtain noise-reduced speech audio corresponding to the candidate speech audio; and combining the noise-reduced speech audio with the background reference audio component to obtain noise-reduced recorded audio.

Example techniques involve systems with multiple acoustic echo cancellers. An example implementation captures first audio within an acoustic environment and detecting, within the captured first audio content, a wake-word. In response to the wake-word and before playing an acknowledgement tone, the implementation activates (a) a first sound canceller when one or more speakers are playing back audio content or (b) a second sound canceller when the one or more speakers are idle. In response to the wake-word and after activating either (a) the first sound canceller or (b) the second sound canceller, the implementation outputs the acknowledgement tone via the one or more speakers. The implementation captures second audio within the acoustic environment and cancelling the acoustic echo of the acknowledgement tone from the captured second audio using the activated sound canceller.

Methods and apparatuses for detecting user speech are described. In one example, a method for detecting user speech includes receiving a microphone output signal corresponding to sound received at a microphone and identifying a spoken vowel sound in the microphone signal. The method further includes outputting an indication of user speech detection responsive to identifying the spoken vowel sound.

An adaptive dynamic audio hum extractor eliminates line frequency hum components and associated higher harmonics from an audio signal. An audio signal containing line frequency hum can be processed by providing dynamically controlled notch filters at the fundamental line frequency and additional harmonic multiples of the fundamental frequency. The audio signal is detected to provide dynamic control of the depth of the notch filters. Alternatively, an audio signal containing hum can be processed by dividing the spectrum into at least two frequency bands, an unaltered high band combined with a dynamically processed low band. The adaptive dynamically controlled notch filters vary the depth of the notches in relation to the envelope or time averaged level of the bandwidth limited audio signal. This allows masking of the hum components with higher levels of audio, thereby providing transparency devoid of audio path notches.