Nokia Technologies Oy

Joonas Nikunen

Miikka Tapani Vilermo

Tuomas Virtanen

Arto Juhani Lehtiniemi

Antti Johannes Eronen

Lasse Juhani Laaksonen

Sujeet Shyamsundar Mate

Mikko Tapio Tammi

Adriana Vasilache

Anssi Sakari Rämö

Anssi Rämö

An apparatus, method and computer program is described comprising: receiving a near-field audio source signal from a near-field microphone (); receiving a far-field audio signal from an array comprising one or more far-field microphones (); determining a filter length of a first portion of a room impulse response filter for the near-field microphone, wherein said filter length of said first portion is the same at each of a plurality of frequency bands of the filter and wherein said filter length of said first portion includes a direct acoustic propagation delay; and determining a filter length of a second portion of the room impulse response filter at each of the plurality of frequency bands, wherein the filter length of said second portion is frequency-dependent.

Processing audio signals

A method comprising: receiving input signals for multiple channels; and parameterizing the received input signals into parameters defining multiple different object spectra and defining a distribution of the multiple different object spectra in the multiple channels.

Multi-channel encoding and/or decoding using non-negative tensor factorization

An apparatus comprising: an input configured to receive at least two audio signals; a frequency domain transformer configured to transform the at least two audio signals into a frequency domain representation of the at least two signals; a spatial covariance processor configured to generate an observed spatial covariance matrix from the frequency domain representations of the at least two audio signals; a beamformer configured to generate a spatial covariance matrix model comprising at least one beamformer kernel; a matrix factorizer configured to generate a linear magnitude mode! of audio objects; to combine the spatial covariance matrix model and the linear magnitude model; and further configured to determine at least one combination parameter, such that the at least one parameter for the combination attempts to optimise the combination; and a separator configured to cluster the audio objects based on the at least one combination parameter to create separated audio sources.

Spatial audio apparatus

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Tampere, Finland

Joonas Nikunen