There is provided an earpiece or a headset comprising an audio input for receiving an audio signal to be reproduced, at least one electroacoustic reproduction transducer, an audio unit for effecting audio processing of the received audio signal, at least one converter unit for extracting power from the audio signal received at the audio input, a power storage means for at least partial intermediate storage of the power extracted from the audio signal, and a power control unit for controlling the extraction of the power from the audio signal and for controlling a power supply of the audio unit, in particular by way of the power stored in the power storage means and extracted from the audio signal.

At least one embodiment is directed to a method for automatically activating ambient sound pass-through in an earphone in response to a detected keyword in the ambient sound field of the earphone user, the steps of the method comprising at least receiving at least one ambient sound microphone (ASM) signal; receiving at least one audio content (AC) signal; and comparing the ASM signal to a keyword and if the ASM signal matches a keyword then an AC gain is created.

An active noise reduction system using adaptive filters. A method of operation the active noise reduction system includes smoothing a stream of leakage factors. The frequency of a noise reduction signal may be related to the engine speed of an engine associated with the system within which the active noise reduction system is operated. The engine speed signal may be a high latency signal and may be obtained by the active noise reduction system over audio entertainment circuitry.

An adaptive noise canceling (ANC) circuit adaptively generates an anti-noise signal from a reference microphone signal that is injected into the speaker or other transducer output to cause cancellation of ambient audio sounds. An error microphone proximate the speaker provides an error signal. A secondary path estimating adaptive filter estimates the electro-acoustical path from the noise canceling circuit through the transducer so that source audio can be removed from the error signal. Tones in the source audio, such as remote ringtones, present in downlink audio during initiation of a telephone call, are detected by a tone detector using accumulated tone persistence and non-silence hangover counting, and adaptation of the secondary path estimating adaptive filter is halted to prevent adapting to the tones. Adaptation of the adaptive filters is then sequenced so any disruption of the secondary path adaptive filter response is removed before allowing the anti-noise generating filter to adapt.

Methods, apparatus, systems and articles of manufacture (e.g., physical storage media, such as storage devices and/or storage disks) to implement selective suppression of audio emitted from an audio source are disclosed. Example methods disclosed herein for audio suppression include sending, at a first time, reference audio data in a wireless format to a user device, the reference audio data corresponding to a first audio signal to be emitted by an audio source at a second time later than the first time. Such example methods can also include emitting the first audio signal from a speaker associated with the audio source at the second time.

Headphone providing fully natural interface are described. According to one aspect of such headphones, the headphones comprises a microphone configured for capturing an ambient sound, a speaker configured for playing audio signals, a command interface configured for receiving one or more external control commands, and a control unit having an ambient sound monitoring function. The control unit captures the ambient sound through the microphone, and automatically causes the headphones to enter an interactive mode when a preset interested sound is detected to appear in the ambient sound. The control unit controls the headphones to output an interactive reminder in the interactive mode, and the interactive reminder comprises one or more of visual reminders, a tactile reminder and an auditory reminder. Thus, interaction between the user and the ambience can be realized in a fully natural interface manner according to user preferences.

The present disclosure illustrates an acoustic echo cancellation method and system using the same. The acoustic echo cancellation method comprises the following steps. Firstly, a prior-knowledge matrix comprising a plurality of space vectors is built. Then, an initial filter vector is generated by the prior-knowledge matrix and an initial weighting vector. The weighting vector is updated based on the difference of the echo signal and the estimated signal in an iteration algorithm, and the coefficient of the filter vector is updated according to the updated weighting vector. An estimated signal is generated according to the updated filter vector and the original signal. Finally, the next echo signal is cancelled by the near-end estimated signal.

A time-of-flight mass spectrometry device, includes: a flight tube: a flight tube power supply that applies a voltage to the flight tube; and a noise reduction circuit that is connected to a flight tube voltage portion which lies between the flight tube and the flight tube power supply, wherein: the noise reduction circuit inverts and amplifies an input voltage from an input end of the noise reduction circuit, and feeds inverted and amplified voltage back to the flight tube voltage portion through an output end.

A time-of-flight mass spectrometry device, includes: a flight tube: a flight tube power supply that applies a voltage to the flight tube; and a noise reduction circuit that is connected to a flight tube voltage portion which lies between the flight tube and the flight tube power supply, wherein: the noise reduction circuit inverts and amplifies an input voltage from an input end of the noise reduction circuit, and feeds inverted and amplified voltage back to the flight tube voltage portion through an output end.

A wearable device may include a processor configured to perform active noise cancelation (ANC) applied to an input audio signal received by at least one microphone, and detect a self-voice signal, based on one or more transducers. The processor may also be configured to apply a first filter to an external audio signal, detected by at least one external microphone on the wearable device, during a listen through operation based on an activation of the audio zoom feature to generate a first listen-through signal that includes the external audio signal. The processor may also be configured to after the activation of the audio zoom feature terminate a second filter that provides low frequency compensation. The processor may be configured to produce an output audio signal that is based on at least the first listen-through signal that includes the external signal, and is based on the detected self-voice signal.