Abstract: A signal processor for performing signal enhancement, the signal processor comprising: an input-terminal, configured to receive an input-signaling; an output-terminal; an interference-cancellation-block configured to receive the input-signaling and to provide an interference-estimate-signaling and an interference-cancelled-signal based on the input-signaling. The signal processor further comprises a feature-block configured to provide a combination-feature-signal based on the interference-cancelled-signal and the interference-estimate-signaling; and a neural-network-block configured to apply model parameters to the combination-feature-signal to provide a neural-network-output-signal to the output-terminal.

Abstract: A signal processor comprising: an input terminal, configured to receive an input-signal; a voicing-terminal, configured to receive a voicing-signal representative of a voiced speech component of the input-signal; an output terminal; a delay block, configured to receive the input-signal and provide a filter-input-signal as a delayed representation of the input-signal; a filter block, configured to: receive the filter-input-signal; and provide a noise-estimate-signal by filtering the filter-input-signal; a combiner block, configured to: receive a combiner-input-signal representative of the input-signal; receive the noise-estimate-signal; and combine the combiner-input-signal with the noise-estimate-signal to provide an output-signal to the output terminal; and a filter-control-block, configured to: receive the voicing-signal; receive signalling representative of the input-signal; and set filter coefficients of the filter block in accordance with the voicing-signal and the input-signal.

Abstract: A signal processor comprising: a modelling block, configured to receive a frequency-domain-input-signal, a fundamental-frequency-signal representative of a fundamental frequency of the frequency-domain-input-signal; and configured to provide a pitch-model-signal based on a periodic function, the pitch-model-signal spanning a plurality of discrete frequency bins, each discrete frequency bin having a respective discrete frequency bin index, wherein within each discrete frequency bin the pitch-model-signal is defined by: the periodic function; the fundamental frequency; the frequency-domain-input-signal; and the respective discrete frequency bin index. The signal processor further comprises a manipulation block, configured to provide an output-signal based on the frequency-domain-input-signal and the pitch-model-signal.

Abstract: A signal processor comprising a plurality of microphone-terminals configured to receive a respective plurality of microphone-signals. A plurality of beamforming-modules, each respective beamforming-module configured to receive and process input-signalling representative of some or all of the plurality of microphone-signals to provide a respective speech-reference-signal, a respective noise-reference-signal, and a beamformer output signal based on focusing a beam into a respective angular direction. A beam-selection-module comprising a plurality of speech-leakage-estimation-modules, each respective speech-leakage-estimation-module configured to receive the speech-reference-signal and the noise-reference-signal from a respective one of the plurality of beamforming-modules; and provide a respective speech-leakage-estimation-signal based on a similarity measure of the received speech-reference-signal with respect to the received noise-reference-signal.

Abstract: A signal processor comprising: a signal-manipulation-block configured to: receive a cepstrum-input-signal, wherein the cepstrum-input-signal is in the cepstrum domain and comprises a plurality of bins; receive a pitch-bin-identifier that is indicative of a pitch-bin in the cepstrum-input-signal; and generate a cepstrum-output-signal based on the cepstrum-input-signal by: scaling the pitch-bin relative to one or more of the other bins of the cepstrum-input-signal; or determining an output-pitch-bin-value based on the pitch-bin, and setting one or more of the other bins of the cepstrum-input-signal to a predefined value; or determining an output-other-bin-value based on one or more of the other bins of the cepstrum-input-signal, and setting the pitch-bin to a predefined value.

Abstract: A signal processor for performing signal enhancement, the signal processor comprising: an input-terminal, configured to receive an input-signaling; an output-terminal; an interference-cancellation-block configured to receive the input-signaling and to provide an interference-estimate-signaling and an interference-cancelled-signal based on the input-signaling. The signal processor further comprises a feature-block configured to provide a combination-feature-signal based on the interference-cancelled-signal and the interference-estimate-signaling; and a neural-network-block configured to apply model parameters to the combination-feature-signal to provide a neural-network-output-signal to the output-terminal.

Abstract: A speech-signal-processing-circuit configured to receive a time-frequency-domain-reference-speech-signal and a time-frequency-domain-degraded-speech-signal. The time-frequency-domain-reference-speech-signal comprises: an upper-band-reference-component with frequencies that are greater than a frequency-threshold-value; and a lower-band-reference-component with frequencies that are less than the frequency-threshold-value. The time-frequency-domain-degraded-speech-signal comprises: an upper-band-degraded-component with frequencies that are greater than the frequency-threshold-value; and a lower-band-degraded-component with frequencies that are less than the frequency-threshold-value.

Abstract: A signal processor comprising: an input terminal, configured to receive an input-signal; a voicing-terminal, configured to receive a voicing-signal representative of a voiced speech component of the input-signal; an output terminal; a delay block, configured to receive the input-signal and provide a filter-input-signal as a delayed representation of the input-signal; a filter block, configured to: receive the filter-input-signal; and provide a noise-estimate-signal by filtering the filter-input-signal; a combiner block, configured to: receive a combiner-input-signal representative of the input-signal; receive the noise-estimate-signal; and combine the combiner-input-signal with the noise-estimate-signal to provide an output-signal to the output terminal; and a filter-control-block, configured to: receive the voicing-signal; receive signalling representative of the input-signal; and set filter coefficients of the filter block in accordance with the voicing-signal and the input-signal.

Abstract: A signal processor comprising a plurality of microphone-terminals configured to receive a respective plurality of microphone-signals. A plurality of beamforming-modules, each respective beamforming-module configured to receive and process input-signalling representative of some or all of the plurality of microphone-signals to provide a respective speech-reference-signal, a respective noise-reference-signal, and a beamformer output signal based on focusing a beam into a respective angular direction. A beam-selection-module comprising a plurality of speech-leakage-estimation-modules, each respective speech-leakage-estimation-module configured to receive the speech-reference-signal and the noise-reference-signal from a respective one of the plurality of beamforming-modules; and provide a respective speech-leakage-estimation-signal based on a similarity measure of the received speech-reference-signal with respect to the received noise-reference-signal.

Abstract: A signal processor comprising: a modelling block, configured to receive a frequency-domain-input-signal, a fundamental-frequency-signal representative of a fundamental frequency of the frequency-domain-input-signal; and configured to provide a pitch-model-signal based on a periodic function, the pitch-model-signal spanning a plurality of discrete frequency bins, each discrete frequency bin having a respective discrete frequency bin index, wherein within each discrete frequency bin the pitch-model-signal is defined by: the periodic function; the fundamental frequency; the frequency-domain-input-signal; and the respective discrete frequency bin index. The signal processor further comprises a manipulation block, configured to provide an output-signal based on the frequency-domain-input-signal and the pitch-model-signal.

Abstract: A signal processor comprising: a signal-manipulation-block configured to: receive a cepstrum-input-signal, wherein the cepstrum-input-signal is in the cepstrum domain and comprises a plurality of bins; receive a pitch-bin-identifier that is indicative of a pitch-bin in the cepstrum-input-signal; and generate a cepstrum-output-signal based on the cepstrum-input-signal by: scaling the pitch-bin relative to one or more of the other bins of the cepstrum-input-signal; or determining an output-pitch-bin-value based on the pitch-bin, and setting one or more of the other bins of the cepstrum-input-signal to a predefined value; or determining an output-other-bin-value based on one or more of the other bins of the cepstrum-input-signal, and setting the pitch-bin to a predefined value.

Abstract: A speech-signal-processing-circuit configured to receive a time-frequency-domain-reference-speech-signal and a time-frequency-domain-degraded-speech-signal. The time-frequency-domain-reference-speech-signal comprises: an upper-band-reference-component with frequencies that are greater than a frequency-threshold-value; and a lower-band-reference-component with frequencies that are less than the frequency-threshold-value. The time-frequency-domain-degraded-speech-signal comprises: an upper-band-degraded-component with frequencies that are greater than the frequency-threshold-value; and a lower-band-degraded-component with frequencies that are less than the frequency-threshold-value.

Abstract: The use of a data link between two or more smart devices for voice communication allows for the enhancement of voice quality in a collaborative way through the exchange of well-defined meta-data between the smart devices. The meta-data may be exchanged on a separate IP data link or as part of the exchanged voice data packets.

Abstract: The use of a data link between two or more smart devices for voice communication allows for the enhancement of voice quality in a collaborative way through the exchange of well-defined meta-data between the smart devices. The meta-data may be exchanged on a separate IP data link or as part of the exchanged voice data packets.

Abstract: A method for detecting speech using a first microphone adapted to produce a first signal (x), and a second microphone adapted to produce a second signal (x2), the method comprising the steps of: (i) applying gain to the second signal to produce a normalised second signal, which signal is normalised relative to the first signal; (ii) constructing one or more signal components from the first signal and the normalised second signal; (iii) constructing an adaptive differential microphone (ADM) having a constructed microphone response constructed from the one or more signal components which response has at least one directional null; (iv) producing one or more ADM outputs (yf, yb) from the constructed microphone response in response to detected sound; (v) computing a ratio of a parameter of either a first signal component or a constructed microphone response to a parameter of an output of the ADM; (vi) comparing the ratio to an adaptive threshold value; (vii) detecting speech if the ratio is greater than or equ

Abstract: It is described a method for controlling an adaptation of a behavior of an audio device (100) to a current acoustic environmental condition. The method comprises (a) monitoring an audio output signal (x(t), x?(t)) being provided to an acoustic output device (110) of the audio device (100) for outputting an acoustic output signal, (b) measuring an audio input signal (z(t)) being provided by an acoustic input device (120) of the audio device (100), wherein the audio input signal (z(t)) is indicative for a feedback portion of the acoustic output signal and for the current acoustic environmental condition, (c) determining a relation between the audio output signal (x?(t)) and the audio input signal (z(t)) and (d) adapting the behavior of the audio device (100) based on the determined relation.

Abstract: An audio-processing device having an audio input, for receiving audio signals, each audio signal having a mixture of components, each corresponding to a sound source, and a control input, for receiving, for each sound source, a desired gain factor associated with the source, by which it is desired to amplify the corresponding component, and an auxiliary signal generator, for generating at least one auxiliary signal from the audio signals, and with a different mixture of components as compared with a reference audio signal; and a scaling coefficient calculator, for calculating scaling coefficients based upon the desired gain factors and upon parameters of the different mixture, each scaling coefficient associated with one of the auxiliary signal and optionally the reference audio signal, and an audio synthesis unit, for synthesizing an output audio signal by applying scaling coefficients to the auxiliary signal and optionally the reference audio signal and combining the results.

Abstract: It is described a method for controlling an adaptation of a behavior of an audio device (100) to a current acoustic environmental condition. The method comprises (a) monitoring an audio output signal (x(t), x?(t)) being provided to an acoustic output device (110) of the audio device (100) for outputting an acoustic output signal, (b) measuring an audio input signal (z(t)) being provided by an acoustic input device (120) of the audio device (100), wherein the audio input signal (z(t)) is indicative for a feedback portion of the acoustic output signal and for the current acoustic environmental condition, (c) determining a relation between the audio output signal (x?(t)) and the audio input signal (z(t)) and (d) adapting the behavior of the audio device (100) based on the determined relation.

Abstract: A method for detecting speech using a first microphone adapted to produce a first signal (x), and a second microphone adapted to produce a second signal (x2), the method comprising the steps of: (i) applying gain to the second signal to produce a normalised second signal, which signal is normalised relative to the first signal; (ii) constructing one or more signal components from the first signal and the normalised second signal; (iii) constructing an adaptive differential microphone (ADM) having a constructed microphone response constructed from the one or more signal components which response has at least one directional null; (iv) producing one or more ADM outputs (yf, yb) from the constructed microphone response in response to detected sound; (v) computing a ratio of a parameter of either a first signal component or a constructed microphone response to a parameter of an output of the ADM; (vi) comparing the ratio to an adaptive threshold value; (vii) detecting speech if the ratio is greater than or equ

Abstract: The invention relates to a receiver (1, 49, 51, 52, 54) for receiving RF signals. The known receiver comprises a phase-locked loop which is controlled by the stereo pilot. Because of unwanted frequency changes, a sampling rate converter precedes the stereo decoder. Filtering operations within a complex range can be performed by means of the invention.