Abstract:
System for cancellation of non-stationary interfering signals, particularly for use for mitigating effects of such interferers produced by in-car entertainment (ECAD) devices for speech recognition applications. The system spectrally analyses signals output by the ECAD before and after they are passed through an in-car acoustic channel. A model of the acoustic channel is built by the system's algorithm. For speech recognition the model is spectrally subtracted from a signal received at a microphone in order to recover a wanted speech signal. The acoustic channel model is built by estimating frequency domain acoustic transfer functions between each loudspeaker used by the ECAD and the microphone.
Abstract:
An improved method for adaptively cancelling acoustic feedback in hearing aids and other audio amplification devices. Feedback cancellation is limited to a frequency band that encompasses all unstable frequencies. By limiting the bandwidth of the feedback cancellation signal, the distortion due to the adaptive filter is minimized and limited only to the unstable feedback regions. A relatively simple signal processing algorithm is used to produce highly effective results with minimal signal distortion.
Abstract:
The invention relates to a method and a device for operating voice-controlled systems, such as communication and/or intercommunication systems in motor vehicles. According to the invention voice signals are received in a multiple microphone system and transmitted to at least one loudspeaker. The aim of the invention is to eliminate feedback with a method and device of this kind. To this end the invention provides for the voice signal or voice signal spectrum first to be subjected to a low-value DELTA F frequency shift before being transmitted to the loudspeaker(s) or the input of a voice-controlled device.
Abstract:
The present invention relates to a method for improving acoustic noise attenuation in hand-free devices essentially used in automobiles, wherein said method uses a level balance (22) as well as a plurality of echo-compensation adaptive filters (34) each for processing a given partial band. In at least one partial band, another adaptive filter (shadow filter 36) of a lower order is connected in parallel to an adaptive echo-compensation filter (34). Spatial modifications can thus be determined on the basis of a combined estimation which comprises a correlation analysis as well as a residual-error comparison of the two concurring filters (34, 36).
Abstract:
A howling eliminator comprises a frequency analyzing means (32) for detecting the howling frequency, means (20) for removing the howling frequency band detected by the frequency analyzing means, and means (30) for controlling the characteristics of both the frequency analyzing means and the band removing means. The input frequency is subjected to wideband division and divided into a plurality of frequency bands, the frequency analyzing means detects the howling state of the divided frequency bands. When howling is detected in a specific divided frequency band, the frequency band is subdivided into a plurality of narrow bands and the narrow bands including howling are detected. A band removing means is controlled to remove the frequency band in which howling is taking place. Howling detecting time is shortened while minimizing the hardware.
Abstract:
At least one, and advantageously two, accelerometers (14, 16) are physically secured to parts of a hearing aid, advantageously a CIC hearing aid. The accelerometers are operatively connected with a feedback processor (18). When the outputs from the accelerometers indicate that feedback is occurring, the feedback processor processes the audio signal from the microphone (10) in such a manner as to eliminate the feedback or at least to hold it to an inaudible level.
Abstract:
In order to cancel echo on several sound signal channels, the method consists in generating on each channel a synthetic signal having the spectral characteristics of a white noise; computing the frequency masking thresholds in several adjacent frequency bands using auditory perception properties; bringing in each frequency channel the synthetic signal level to the associated masking threshold value, so as to obtain an auxiliary signal, which is added to the signal associated with the loudspeaker of the channel concerned; supplying the resulting signal to an adaptive filter; adding the output signals of the associated adaptive filters to each microphone channel; subtracting the resulting signal received by the microphone of this channel; deducing an estimation error, on the basis of which the coefficients of the adaptive filters associated with this channel are corrected.
Abstract:
Systems and methods are disclosed for operating a wireless audio network including a plurality of wireless microphone units (e.g., wireless delegate units) and a central access point having a mixer. The wireless microphone units may perform voice detection and level sensing, and make a preliminary gating decision. The central access point may make a final gating decision, determine the granting of wireless communications channels, and generate a final mixed audio output signal.
Abstract:
Illustrative embodiments enable a MEMS transducer to quickly recover from, acoustic overload events by quickly resetting signal processing circuitry downstream from a MEMS transducer. An acoustic overload sensor detects occurrence of an acoustic overload event, and triggers a reset circuit to operate a set of switches to rapidly drain charge from a corresponding set of capacitances within the transducer, or within the signal processing circuitry, thereby resetting the signal processing circuitry more rapidly than would occur if said transducer or circuitry were allowed to recover on its own.