Abstract: Implementations described herein relate to causing emoji(s) that are associated with a given emotion class expressed by a spoken utterance to be visually rendered for presentation to a user at a display of a client device of the user. Processor(s) of the client device may receive audio data that captures the spoken utterance, process the audio data to generate textual data that is predicted to correspond to the spoken utterance, and cause a transcription of the textual data to be visually rendered for presentation to the user via the display. Further, the processor(s) may determine, based on processing the textual data, whether the spoken utterance expresses a given emotion class. In response to determining that the spoken utterance expresses the given emotion class, the processor(s) may cause emoji(s) that are stored in association with the given emotion class to be visually rendered for presentation to the user via the display.

Abstract: According to a first aspect of the present disclosure, a method for facilitating detection of one or more time series patterns is conceived, comprising building one or more artificial neural networks, wherein, for at least one time series pattern to be detected, a specific one of said artificial neural networks is built, the specific one of said artificial neural networks being configured to produce a decision output and a reliability output, wherein the reliability output is indicative of the reliability of the decision output. According to a second aspect of the present disclosure, a corresponding computer program is provided. According to a third aspect of the present disclosure, a corresponding system for facilitating the detection of one or more time series patterns is provided.

Abstract: An apparatus comprising at least one processor and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following: based on at least one utterance of a pass-phrase and predetermined scoring information comprising predetermined linguistic-element-scores attributable to one or more linguistic elements that form at least part of each of the at least one utterance, provide for spoken pass-phrase suitability determination wherein the at least one utterance is assigned a pass-phrase-score based on linguistic analysis in which one or more linguistic elements identified in said utterances are assigned their corresponding linguistic-element-score from the predetermined scoring information, the pass-phrase score based on the one or more linguistic-element scores of the, identified, linguistic elements, wherein the spoken pass-phrase suitability is determined to be defic

Abstract: According to a first aspect of the present disclosure, a method for facilitating detection of one or more time series patterns is conceived, comprising building one or more artificial neural networks, wherein, for at least one time series pattern to be detected, a specific one of said artificial neural networks is built, the specific one of said artificial neural networks being configured to produce a decision output and a reliability output, wherein the reliability output is indicative of the reliability of the decision output. According to a second aspect of the present disclosure, a corresponding computer program is provided. According to a third aspect of the present disclosure, a corresponding system for facilitating the detection of one or more time series patterns is provided.

Abstract: A device including a processor and a memory is disclosed. The memory includes a noise spectral estimator to calculate noise spectral estimates from a sampled environmental noise, a speech spectral estimator to calculate speech spectral estimates from the input speech, a formant signal to noise ratio (SNR) estimator to calculate SNR estimates using the noise spectral estimates and speech spectral estimates within each formant detected in a speech spectrum. The memory also includes a formant boost estimator to calculate and apply a set of gain factors to each frequency component of the input speech such that the resulting SNR within each formant reaches a pre-selected target value.

Abstract: An apparatus comprising at least one processor and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following: based on at least one utterance of a pass-phrase and predetermined scoring information comprising predetermined linguistic-element-scores attributable to one or more linguistic elements that form at least part of each of the at least one utterance, provide for spoken pass-phrase suitability determination wherein the at least one utterance is assigned a pass-phrase-score based on linguistic analysis in which one or more linguistic elements identified in said utterances are assigned their corresponding linguistic-element-score from the predetermined scoring information, the pass-phrase score based on the one or more linguistic-element scores of the, identified, linguistic elements, wherein the spoken pass-phrase suitability is determined to be defic

Abstract: According to a first aspect of the present disclosure, a method for facilitating the detection of one or more time series patterns is conceived, comprising building one or more artificial neural networks, wherein, for at least one time series pattern to be detected, a specific one of said artificial neural networks is built. According to a second aspect of the present disclosure, a corresponding computer program is provided. According to a third aspect of the present disclosure, a non-transitory computer-readable medium is provided that comprises a computer program of the kind set forth. According to a fourth aspect of the present disclosure, a corresponding system for facilitating the detection of one or more time series patterns is provided.

Abstract: A device including a processor and a memory is disclosed. The memory includes a noise spectral estimator to calculate noise spectral estimates from a sampled environmental noise, a speech spectral estimator to calculate speech spectral estimates from the input speech, a formant signal to noise ratio (SNR) estimator to calculate SNR estimates using the noise spectral estimates and speech spectral estimates within each formant detected in a speech spectrum. The memory also includes a formant boost estimator to calculate and apply a set of gain factors to each frequency component of the input speech such that the resulting SNR within each formant reaches a pre-selected target value.

Abstract: A mechanism is described for facilitating echo watermarking and filtering at computing devices according to one embodiment. A method of embodiments, as described herein, includes assigning a watermark to a communication signal, where the watermarked communication signal transforms into a watermarked echo upon exiting a computing device. The method may further include receiving the watermarked echo, filtering the watermarked echo such that the watermarked echo is cancelled out of a final signal, and transmitting the final signal that is free of the watermarked echo.

Abstract: A method is provided for allocating bits for quantifying spatial information parameters by frequency sub-band for parametric encoding/decoding of a multichannel audio stream representative of a soundstage consisting of a plurality of sound sources. The method includes a step of quantifying or inversely quantifying, by frequency sub-band, spatial information parameters for the sound sources of the soundscape. The method further includes: assessing a spatial resolution of the current sub-band on the basis of the spectral properties of the sub-band; and determining a number of bits to be allocated to the current sub-band, the number of bits to be allocated being inversely proportional to the estimated spatial resolution. Also provided is a device for allocating quantification bits implementing the above-described method.

Abstract: A method for compressing an audio stream, including a plurality of signals, describing a sound scene produced by a plurality of sources in a space, by: identifying the sources from an audio stream; determining a frequency band, energy level and spatial position in the space for each of the identified sources; determining, for each identified source, a spatial resolution corresponding to the smallest difference in position of said source in the space which a listener is capable of perceiving, on the basis of: the frequency band, the energy level, and the spatial position of said source; and, on the frequency band, energy level, and spatial position of at least one subset of the other identified sources; generating a compressed stream comprising the information required to restore each identified source with at least the same corresponding spatial resolution.

Abstract: A method is provided for allocating bits for quantifying spatial information parameters by frequency sub-band for parametric encoding/decoding of a multichannel audio stream representative of a soundstage consisting of a plurality of sound sources. The method includes a step of quantifying or inversely quantifying, by frequency sub-band, spatial information parameters for the sound sources of the soundscape. The method further includes: assessing a spatial resolution of the current sub-band on the basis of the spectral properties of the sub-band; and determining a number of bits to be allocated to the current sub-band, the number of bits to be allocated being inversely proportional to the estimated spatial resolution. Also provided is a device for allocating quantification bits implementing the above-described method.

Abstract: A method for compressing an audio stream, including a plurality of signals, describing a sound scene produced by a plurality of sources in a space, by: identifying the sources from an audio stream; determining a frequency band, energy level and spatial position in the space for each of the identified sources; determining, for each identified source, a spatial resolution corresponding to the smallest difference in position of said source in the space which a listener is capable of perceiving, on the basis of: the frequency band, the energy level, and the spatial position of said source; and, on the frequency band, energy level, and spatial position of at least one subset of the other identified sources; generating a compressed stream comprising the information required to restore each identified source with at least the same corresponding spatial resolution.