Abstract: In one aspect, a method of guarding an automated software includes generating, by a first language model, a training set of rule-violating data, generating, by the first language model, a training set of contrastive examples by altering the rule-violating data into non-violating data, training a guardrail machine learning model using the generated training sets, generating, with an automated software, an output based on a user input, monitoring with the trained guardrail machine learn model whether the generated output violates a rule, and preventing the automated software from transmitting to the user the generated output that violates a rule.

Abstract: In one aspect, a method of guarding an automated software includes generating, by a first language model, a training set of rule-violating data, generating, by the first language model, a training set of contrastive examples by altering the rule-violating data into non-violating data, training a guardrail machine learning model using the generated training sets, generating, with an automated software, an output based on a user input, monitoring with the trained guardrail machine learn model whether the generated output violates a rule, and preventing the automated software from transmitting to the user the generated output that violates a rule.

Abstract: An apparatus for speech signal processing using artificial intelligence comprises: a microphone configured to receive speech and convert the received speech to a digital speech signal; at least one processor; and a non-transitory computer-readable medium having stored thereon instructions to cause the least one processor to execute the method of speech signal processing using artificial intelligence. The method comprises: receiving the digital speech signal; converting the speech signal to text; labelling, with at least one machine learning model, components of the text; and generating, with the at least one machine learning model, with the labelled components, at least one of a care plan or summary.

Abstract: Embodiments relate to obtaining filter coefficients for a binaural synthesis filter; and applying a compensation filter to reduce artefacts resulting from the binaural synthesis filter; wherein the filter coefficients and compensation filter are configured to be used to obtain binaural audio output from a monaural audio input. The filter coefficients and compensation filter may be applied to the monaural audio input to obtain the binaural audio output. The compensation filter may comprise a timbre compensation filter.

Abstract: Embodiments relate to, for a scene comprising a representation of at least one object and at least one sound source: obtaining a decomposition of the at least one object, the decomposition comprising at least one geometric component; modelling at least one interaction of the at least one object and the at least one sound source using the at least one geometric component; and, in dependence on the modelling of the at least one interaction, processing an audio input associated with the at least one sound source to obtain an audio output.

Abstract: Embodiments relate to, for a scene comprising a representation of at least one object and at least one sound source: obtaining a decomposition of the at least one object, the decomposition comprising at least one geometric component; modelling at least one interaction of the at least one object and the at least one sound source using the at least one geometric component; and, in dependence on the modelling of the at least one interaction, processing an audio input associated with the at least one sound source to obtain an audio output.

Abstract: Embodiments relate to obtaining filter coefficients for a binaural synthesis filter; and applying a compensation filter to reduce artefacts resulting from the binaural synthesis filter; wherein the filter coefficients and compensation filter are configured to be used to obtain binaural audio output from a monaural audio input. The filter coefficients and compensation filter may be applied to the monaural audio input to obtain the binaural audio output. The compensation filter may comprise a timbre compensation filter.

Abstract: Embodiments relate to obtaining filter coefficients for a binaural synthesis filter; and applying a compensation filter to reduce artifacts resulting from the binaural synthesis filter; wherein the filter coefficients and compensation filter are configured to be used to obtain binaural audio output from a monaural audio input. The filter coefficients and compensation filter may be applied to the monaural audio input to obtain the binaural audio output. The compensation filter may comprise a timbre compensation filter.

Abstract: Embodiments relate to, for a scene comprising a representation of at least one object and at least one sound source: obtaining a decomposition of the at least one object, the decomposition comprising at least one geometric component; modelling at least one interaction of the at least one object and the at least one sound source using the at least one geometric component; and, in dependence on the modelling of the at least one interaction, processing an audio input associated with the at least one sound source to obtain an audio output.

Abstract: Embodiments relate to, for a scene comprising a representation of at least one object and at least one sound source: obtaining a decomposition of the at least one object, the decomposition comprising at least one geometric component; modelling at least one interaction of the at least one object and the at least one sound source using the at least one geometric component; and, in dependence on the modelling of the at least one interaction, processing an audio input associated with the at least one sound source to obtain an audio output.

Abstract: Embodiments relate to, for a scene comprising a representation of at least one object and at least one sound source: obtaining a decomposition of the at least one object, the decomposition comprising at least one geometric component; modelling at least one interaction of the at least one object and the at least one sound source using the at least one geometric component; and, in dependence on the modelling of the at least one interaction, processing an audio input associated with the at least one sound source to obtain an audio output.

Abstract: Embodiments relate to, for a scene comprising a representation of at least one object and at least one sound source: obtaining a decomposition of the at least one object, the decomposition comprising at least one geometric component; modelling at least one interaction of the at least one object and the at least one sound source using the at least one geometric component; and, in dependence on the modelling of the at least one interaction, processing an audio input associated with the at least one sound source to obtain an audio output.

Abstract: Embodiments relate to obtaining filter coefficients for a binaural synthesis filter; and applying a compensation filter to reduce artefacts resulting from the binaural synthesis filter; wherein the filter coefficients and compensation filter are configured to be used to obtain binaural audio output from a monaural audio input. The filter coefficients and compensation filter may be applied to the monaural audio input to obtain the binaural audio output. The compensation filter may comprise a timbre compensation filter.