An echo cancellation device includes an echo signal reduction processing unit that generates a transmitting signal in which an echo signal component is reduced from the acoustic signal; and a filter coefficient update determination unit that instructs the echo signal reduction processing unit to update the filter coefficient when the output voice signal corresponds to a voice section and the acoustic signal includes the echo signal component. The filter coefficient update determination unit calculates a feature value of the acoustic signal and instructs to update the filter coefficient when a difference between a first feature value of a frequency band equal to or lower than the target frequency and a second feature value of a frequency band higher than the target frequency is equal to or greater than a preset update determination threshold.

Echo cancellation device, non-transitory computer readable medium storing echo cancellation program, and echo cancellation

The embodiment of the invention discloses an echo cancellation method. The echo cancellation method is used for improving the accuracy of the operation for determining that far-end signals are voices, so that the situations that echo signals are mistakenly estimated, and near-end signals distort when echo cancellation is carried out are avoided, and connection quality is improved. The echo cancellation method comprises the steps that when a first energy value of a far-end input signal is larger than a first threshold value, the autocorrelation value of the far-end input signal is calculated; when it is determined that the autocorrelation value is larger than a second threshold, the far-end input signal is determined as a voice; an echo signal is calculated through the far-end input signal, the echo signal is subtracted from a near-end input signal, and thus the echo in the near-end input signal is cancelled. The embodiment of the invention further provides an echo cancellation device which is used for improving connection quality.

Echo cancellation method and device

Traditional audio feedback elimination systems may attempt to reduce the effect of the audio feedback by simply scaling down the audio volume of the signal frequencies that are prone to howling. Other traditional feedback elimination systems may also employ adaptive notch filtering to detect and “notch” the so-called “singing” or “howling” frequencies as they occur in real-time. Such devices may typically have several knobs and buttons needing tuning, for example: the number of adaptive parametric equalizers (PEQs) versus fixed PEQs; attack and decay timers; and/or PEQ bandwidth. Rather than removing the singing frequencies with PEQs, the devices described herein attempt to holistically model the feedback audio and then remove the entire feedback signal. Two advantages of the devices described herein are: 1.) the system can operate at a much larger loop-gain (and hence with a much higher loudspeaker volume); and 2) setup is greatly simplified (i.e., no tuning knobs or buttons).

Audio feedback reduction utilizing adaptive filters and nonlinear processing

The invention provides a double-end communication detection method and device. The double-end communication detection method comprises the steps of counting a difference between a high-frequency component of a filtering coefficient of a main filter and a high-frequency component of a filtering coefficient of a cache filter; if the difference is beyond a preset threshold, determining that the mainfilter and the cache filter are currently in the double-end communication state; and when determining that the difference is beyond the threshold, copying the filtering coefficient of the cache filterand resetting the filtering coefficient of the main filter. According to the embodiment of the invention, the problems of time delay and high complexity of the existing method of detecting the double-end communication are solved, and the technical effect of determining whether the double-end communication exists simply and accurately is realized.

Double-end communication detection method and device

A method for processing audio data for output to a transducer may include receiving an audio signal, filtering the audio signal with a fixed filter having fixed filter coefficients to generate a filtered audio signal, and outputting the filtered audio signal to the transducer. The fixed filter coefficients of the fixed filter may be tuned by using a psychoacoustic model of the transducer to determine audibility masking thresholds for a plurality of frequency sub-bands, allocating compensation coefficients to the plurality of frequency sub-bands, and fitting the fixed filter coefficients with the compensation coefficients allocated to the plurality of sub-bands.

Psychoacoustics for improved audio reproduction, power reduction, and speaker protection

An acoustic signal processing system and method. In accordance with an embodiment, the acoustic signal processing system includes an adaptive filter that filters a signal from a frequency band reservation module and generates a filter signal that is received by a subtractor. The subtractor generates an error signal that is used by a double-talk indicator module to generate a control signal that indicates the presence of double-talk.

Acoustic signal processing system capable of detecting double-talk and method

The utility model relates to an acoustic signal processing system and method. According to one embodiment, the signal processing system comprises an adaptive filter. The adaptive filter filters the signals from a frequency band preservation module and generates filtering signals received by a subtracter. The subtracter generates error signals which are used by a double-talk indicator module to generate control signals for indicating the existence of a double talk.

Acoustic signal processing system having function of double-talk detection

An audio device that includes a music classifier that determines when music is present in an audio signal is disclosed. The audio device is configured to receive audio, process the received audio, and to output the processed audio to a user. The processing may be adjusted based on the output of the music classifier. The music classifier utilizes a plurality of decision making units, each operating on the received audio independently. The decision making units are simplified to reduce the processing, and therefore the power, necessary for operation. Accordingly each decision making unit may be insufficient to determine music alone but in combination may accurately detect music while consuming power at a rate that is suitable for a mobile device, such as a hearing aid.

Music classifier and related methods

Eine Audiovorrichtung, die einen Musikklassifizierer einschliest, der bestimmt, wann Musik in einem Audiosignal vorhanden ist, wird offenbart. Die Audiovorrichtung ist dazu konfiguriert, Audiosignale zu empfangen, die empfangenen Audiosignale zu verarbeiten und die verarbeiteten Audiosignale an einen Benutzer auszugeben. Die Verarbeitung kann basierend auf der Ausgabe des Musikklassifizierers eingestellt werden. Der Musikklassifizierer verwendet eine Vielzahl von Entscheidungsfindungseinheiten, von denen jede unabhangig an dem empfangenen Audiosignal arbeitet. Die Entscheidungsfindungseinheiten werden vereinfacht, um die fur den Betrieb notwendige Verarbeitung und damit die Leistung zu reduzieren. Dementsprechend ist jede Entscheidungsfindungseinheit moglicherweise nicht ausreichend, um Musik allein zu bestimmen, wobei sie in Kombination Musik genau erfassen kann, wahrend sie Leistung mit einer Rate verbraucht, die fur eine mobile Vorrichtung, wie beispielsweise eine Horhilfe, geeignet ist.

Musikklassifizierer und verwandte verfahren

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Acoustic signal processing system capable of detecting double-talk and method

Acoustic signal processing system having function of double-talk detection

Music classifier and related methods

Musikklassifizierer und verwandte verfahren