Nuance Communications, Inc.

Cerence Operating Company

Deutsches Zentrum Fur Luft-und Raumfahrt E.v.

Universität Des Saarlandes

Friedrich Faubel

Markus Buck

Tim Haulick

Tobias Wolff

Dietrich Klakow

Ingo Schalk-Schupp

Jonas Jungclaussen

Julien Premont

Markus Funk

Naveen Kumar Desiraju

Patrick B Hannon

Oliver Van Porten

Holger Quast

Kai Wenzler

Jonas Sautter

Marcus Groeber

Juergen Rataj

Hartmut Helmke

Disclosed are systems, methods, and other implementations for acoustic interference suppression, including a method that includes obtaining a multi-source sound signal sample combining multiple sound components from a plurality of sound sources in a sound environment, with the plurality of sounds sources including one or more interfering sound sources produced by one or more loudspeakers in the sound environment, determining interfering sound characteristics for one or more sound signals that correspond to the one or more interfering sound sources, and suppressing at least one of the multiple sound components associated with the determined interfering sound characteristics for at least one of the one or more sound signals.

Acoustic interference suppression through speaker-aware processing

A method for applying a watermark signal to a speech signal to prevent unauthorized use of speech signals, the method may include receiving an original speech signal; determining a corresponding spectrogram of the original speech signal; selecting a phase sequence of fixed frame length and uniform distribution; and generating an encoded watermark signal based on the corresponding spectrogram and phase sequence.

Tamper-robust watermarking of speech signals

A system and method for detecting multi-tone sirens despite environmental noises that may be present obtains a microphone input signal, applies, in real time, a time-frequency analysis to the microphone input signal to determine a time-frequency representation, provides at least one multi-tone model that has a plurality of tone duration patterns, performs multi-tone siren detection on the time-frequency representation, the detection based on the at least one multi-tone model and factoring of doppler shifts, and generates a detection result that can be used in systems for automated vehicles.

System and method for acoustic detection of emergency sirens

A method, computer program product, and computer system for transforming, by a computing device, a speech signal into a speech signal representation. A regression deep neural network may be trained with a cost function to minimize a mean squared error between actual values of the speech signal representation and estimated values of the speech signal representation, wherein the cost function may include one or more discriminative terms. Bandwidth of the speech signal may be extended by extending the speech signal representation of the speech signal using the regression deep neural network trained with the cost function that includes the one or more discriminative terms.

System and method for discriminative training of regression deep neural networks

A method, computer program product, and computer system for receiving, by a computing device, an input signal. A first power spectral density estimate may be generated for a linear reverberant component associated with the input signal. A second power spectral density estimate may be generated for a non-linear reverberant component associated with the input signal. A power spectral density estimate may be generated by combining the first power spectral density estimate for the linear reverberant component and the second power spectral density estimate for the non-linear reverberant component. One or more parameters for at least one of the linear reverberant component and the non-linear reverberant component may be updated. One or more undesired signal components in an output signal resulting from the input signal may be reduced via residual echo suppression based upon, at least in part, updating the one or more parameters.

System and method for combined non-linear and late echo suppression

A method for residual echo suppression is provided. Embodiments may include receiving an original reference signal and applying a distortion function to the original reference signal to generate a second signal. Embodiments may include generating a non-linear signal from the distortion function that does not include linear components of the original reference signal. Embodiments may also include calculating a residual echo power of a linear component and a non-linear component, wherein the linear component is based upon the original reference signal and the non-linear component is based upon the non-linear signal. Embodiments may further include applying a room model to each of the original reference signal and the non-linear signal and estimating a power associated with the original reference signal and the non-linear signal. Embodiments may include calculating a combined echo power estimate as a weighted sum of a weighted original reference signal power and a weighted non-linear signal power.

System and method for suppression of non-linear acoustic echoes

A system and method for speech enhancement of a portable electronic device. Embodiments may include receiving an audio signal at a portable electronic device having a first microphone and a second microphone. Embodiments may also include receiving an input from a proximity detector associated with the portable electronic device and controlling a processing component associated with at least one of the first microphone and the second microphone based upon, at least in part, the input from the proximity detector.

Speech enhancement using a portable electronic device

Methods and apparatus for dynamically suppressing low frequency non-speech audio events, such as road bumps, without suppressing speech formants. In exemplary embodiments of the invention, maximum powers in first and second windows are computed and used to determine whether dampening should be applied, and if so, to what extent.

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Ulm, Germany

Friedrich Faubel