Nxp B.v.

Orange

Adrien Daniel

Rozenn Nicol

Nicholas Evans

Giacomo Valenti

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.

Method and system for facilitating reliable pattern detection

An apparatus comprising at least one processor and at least one memory including computer program code,

Spoken pass-phrase suitability determination

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.

Method and device for boosting formants from speech and noise spectral estimation

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.

Allocation, by sub-bands, of bits for quantifying spatial information parameters for parametric encoding

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.

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Antibes, France

Adrien Daniel